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Business Coaching Program for Leadership Success

Business leadership is one of the success of others. A business coaching program can really help business leaders elevate their leadership skills to new heights. Leaders be proud of helping others attained.

Once you think it over in that way, you will possibly not think now we have many good leaders. Words like selfish, self-absorbed or self-centered might are worried.
One item that you need to do if you wish to be considered a successful leader could be to stop taking a look at how badly others are doing as you concentrate about how well you are going to do. Being critical of others is widespread in our current society. Manufactured people invest time to critique their own personal actions.

Knowledge In regards to Unsecured Loans That May very well Guide A Large amount

An unsecured loan is actually a loan exactly where no collateral is put as much as secure the loan. Several lenders shy away from unsecured loans since they present a risk, specifically for loans given to men and women having a much less than best credit history. Even so, several lenders do supply unsecured loans. It’s a great concept to find out much more about unsecured loans prior to attempting to obtain one.

Unsecured loans are great for somebody without having something to put up for collateral or for an individual having a very good credit rating. There are numerous points to an unsecured loan that an individual wants to be conscious of prior to borrowing.

Some Remarks on Closure and Strong Continuity

The concepts of 0-closure, 6-closure, 0-interior and 6-interior operators
were first introduced by Velickho. These operators have since then been studied
intensively by many authors. Although 0-interior and 0-closure operators are
not idempotents, the collection of all 5-open sets in a topological space (X, I)
forms a topology ro on X, called the semiregularization topology of F, weaker
than F and the class of all regular open sets in Tforms an open basis for Fs.
Similarly, the collection of all 0-open sets in a topological space (X,/) forms a
topology To on X, weaker than T. So far, numerous applications of such
operators have been found in studying different types of continuous like maps,
separation of axioms, and above all, to many important types of compact like
properties. In 1961, [6] introduced the concept of weak continuity as a
generalization of continuity, later in 1966, Husain introduced almost continuity
as another generalization, and Andrew and Whittlesy [2], the concept of closure
continuity which is stronger than weak continuity. In 1968, Singal and Singal
introduced a new almost continuity which is different from that of Husain. A few
years later, P. E. Long and Carnahan [8] studied similarities and dissimilarities
between the two concepts of almost continuity. The purpose of this paper is to
further the study of the concepts of closure and strong continuity. We get similar
results to those in [8], [11] applied to closure and strong continuity. Among
other results we prove that the graph mapping of f is closure continuous iff f
is closure continuous. In Theorem 3, we show that if the graph mapping off is
strongly continuous then f is strongly continuous but not conversely. Theorem
12 is a stronger result of Theorem 5 in [11]. Theorem 8 shows that a strong
retraction of a Hausdorff space is 0-closed. Several decomposition theorems of
closure and strong continuity are given in this paper. Example 2 shows that [9,
Corollary to Theorem 6] is not true.
For a set A in a space X, let us denote by Int(A) and cls(A) for the
interior and the closure of A in X, respectively. Following Velickho, a point x of
An-Rajah Univ. J. Res., Vol. 12, (1998).
Mohammad Saleh 9
a space X is called a 0-adherent point of a subset A of X iff cls(U)nA 0, for
every open set U containing x. The set of all 0 -adherent points of A is called
the 0-closure of A, denoted by else A. A subset A of a space X is called 8-
closed iff A = else A. The complement of a 0 -closed set is called 0-open.
Similarly, the 0 -interior of a set A in X, written Int,9 A, consists of those points
x of A such that for some open set U containing x, cls(U)c – A. A set A is
8-open iff A Into A, or equivalently, X-A is 0-closed. Clearly every 0-closed
(8-open) is closed (open). It is well-known that one of the most weaker forms of
compactness is closure compactness (QHC). A closure compact Hausdoiff
space is called H-closed, first defined by Alexandroff and Urysohn.
A function f: X—>Y is weakly continuous at xe X if given any open set
V in Y containing f(x), there exists an open set U in X containing x such that
f(U) c cls( V). If this condition is satisfied at each XE X, then f is said to be
weakly continuous. A function f X—>Y is closure continuous (8 -continuous) at
xe- X if given any open set V c Y containing f(x), there exists an open set U in
X containing x such that f(cls(U)) cls(V). If this condition is satisfied at each
XE X, then f is said to be closure continuous (0-continuous). A function f: X–>Y
is strongly continuous (strongly 0-continuous) at xe X if given any open set V
Y containing f(x), there exists an open set U CX containing x such that
f(cls(U))c V. If this condition is satisfied at each xe X, then f is said to be
strongly continuous (strongly 0-continuous). A function f X—> Y is said to be
almost continuous in the since of Singal and Singal (briefly a. c_ S) if for each
point XE X and each open set V c Y containing f (x), there exists an open set
U X containing x such that f.(U)c Int(cls(V)). A function f X–>Y is said to be
almost continuous in the since of Husain (briefly a.c.H) if for each xEX and each
open set V c Y containing f(x), cls(f AV)) is a neighborhood of x E X. A
space X is called completely Hausdorff or Urysohn if for every x ye X, there
An-Najah Univ. J. Res.. Vol. 12, (1998).
I 0 Some Remarks on Closure and Strong Continuity
exist an open set U containing x and an open set V containing y such that
cls(U)n cls(V)=4
2. The Results
Clearly cls(A) c clse A, but not equal as it is shown in the next example.
Over a regular space, it is clear that cls(A)=c1s e A.
Example 1. Let R be the reals with the cofinite topology. Then every finite
subset of R is closed, but the 0-closure of every none empty set is R.
Theorem 1. Let f:X–> Y.Then the following are equivalent:
a) f(clse A)cclsf(A), for every AcX;
b) The inverse image of every closed is 0-closed;
c) The inverse image of every open is 0-open;
d) f is strongly continuous.
Proof (a) (b). Let B be a closed set and let A=f -1(B). Let xe clse A. Then
f(x) E f(clseA) ccls(f(A))c cls(B)=B. Therefore, x E f -1 (B)=A.
Thus cis() A=A.
(b) (c) . Let V be an open subset of Y and thus YV is closed. Let
A= f (YV). Then f ()AV) = X 1 f -1 (V) is 0 – closed and thus
f -1 (V) is 0-open.
(c). (d). Let x EX and let V be an open set containing f(x). By the
hypothesis, it follows that f -1 (V) is 0 -open and thus there exists
U an open set containing x such that cls(U) c r i(V). Thus
f(cls(U)) c V, proving that f is strongly continuous.
(d) (a). Let f:X—>Y be strongly continuous and let x E cl se A. Let V
be an open set containing f(x). By strong continuity of f there
exists an open set U containing x such that f(cls(U))c V.
Therefore, cls(U) meets A and thus V meets f(A). Hence
f(x)Ecls(f(A)) as we claim.
An-Najah Univ. J. Res., Vol. 12, (1998).
Alohammad Saleh 11
The proofs of the following Lemmas are straightforward from the
definitions.
Lemma 1. Let f:X -*Y be strongly continuous and let g:Y–* Z be continuous.
Then gof is strongly continuous.
Lemma 2. Let f:X—>Y be closure continuous and let g:Y -Z be closure
continuous. Then go f is closure continuous.
Lemma 3. Let f:X —>Y be closure continuous and let g:Y –>Z be strongly
continuous. Then gof is strongly continuous.
Lemma 4. Let X or Y be regular. Then f:X—> Y is continuous iff f is strongly
continuous.
Remark. We conclude from Lemmas 1 & 3 that the composite of two strongly
continuous functions is strongly continuous.
In [11] it is shown that a function f is weakly continuous iff its graph
mapping g is weakly continuous. This is still true for the case of closure
continuity as it is shown in the next Theorem but it is not the case for strong
continuity as it is shown in Example 2.
Theorem 2. Let f:X –>Y be a mapping and let g:X —>XxY be the graph
mapping of f given by g(x)=(x,f(x)) for every point xG X. Then
g:X -*Xx Y is closure continuous iff f:X—> Y is closure
continuous.
Proof. If g is closure continuous. Then it follows from Lemma 2 that f is closure
continuous, since the projection map 7c: X x Y —> Y is continuous and
f=it og. Conversely, assume f is closure continuous and Let x E X and let
W be an open set in X xY containing g(x). Then there exist an open set
A c X and an open set V cY such that g(x) —(x,f(x)) E Ax V c W.
Since f is closure continuous there exists an open set U containing x such
An-Najah Univ. J. Res., Vol. 12, (1998).
1 2 Some Remarks on Closure and Strong Continuity
that f (cls (U)) c cls (V). Let K = tin A.
Then g (cls (K)) c cls (A) x cls (V) = cls (Ax V) c cls (W), proving
that g is closure continuous.
Theorem 3. Let f:X—> Y be a mapping and let g:X—> X xY be the graph
mapping off given by g(x)=(x,f(x)) for every point x EX. If g:X
X xY is strongly continuous then f:X —>Y is strongly continuous.
Moreover, if the graph mapping g off is strongly continuous then
X is regular.
Proof. It follows directly from Lemma 1 that f is strongly continuous, since the
projection map ir:X xY—> Y is continuous and f=7 og. To prove the
regularity of X. Let x EX and let U be an open set containing x. Then
U nY is an open set containing (x,f(x)). The strong continuity of the
graph mapping of f guarantees the existence of an open set W
containing x such that g(cls(W))=cls(W) x f(cls(W)) c U xY. Thus
xEC1S(W) cU, proving that X is regular.
In [9, Corollary to Theorem 6] it is claimed that the converse of
Theorem 3 is also true which is not as it is shown in the next example.
Example 2. Let X=Y= { 1,2,3} with topologies Fx = {4), { 1}, {2}, { 1,2},X1,
Fy = {C{3},Y}; f(x)=3, for all x. Then f is strongly continuous but
the graph mapping g of f, where g(x)=(x,f(x)) is not strongly
continuous at 1 and 2.
If the domain of f is a regular space then the converse of Theorem 3 is
also true .
Theorem 4. Let f: X –>Y be a mapping with X a regular space, and let g:
X —> X x Y be the graph mapping of f given by g(x)=(x, f(x)) for
every point X E X. If f:X-3Y is strongly continuous then g: Xx
Y is strongly continuous.
An-.Vajah Umv. J. Res., I of 12, (1998).
.11oharnmad Saleh 13
Proof Assume f is strongly continuous and Let x EX and let W be an open set
in Xx Y containing g(x). Then there exist an open set A cX and an open
set V c Y such that g(x)=(x, f(x))e A xV cW. Since f is strongly
continuous, there exists an open set U containing x such that
f(cls(U)) cV. By the regularity of X, there exists an open set K
containing x such that cls(K)c U nA. Therefore, g(cls(K)) c A xV cW,
proving that g is strongly continuous.
By a closure retraction we mean a closure continuous function f.X—> A,
where Ac X and flA is the identity function on A. In this case, A is said to be a
closure retraction of X
Theorem 5. Let Ac X and let f:X—> A be a closure retraction of X onto A. If
X is a completely Hausdorff space, then A is a 0 -closed subset of
X.
Proof Suppose not, then there exists a point xe els e A A. Since f is a closure
retraction we have f(x) # x. Since X is completely Hausdorff, there
exist open sets U and V of x and f(x), respectively, such that
cls(U)n cls(V)=4. Now let W be any open set in X containing x. Then
Un W is an open set containing x and hence cls(Un W)n AAti,
since xe cls o A. Therefore, there exists a point ye cls(Un W)n A. Since
yE A, f(y)=yE cis(U) and hence f(y) ,z cls(V). This shows that f(cls(W))
is not contained in cls(V). This contradicts the hypothesis that f is closure
continuous. Thus A is 0-closed as claimed.
Recall that an almost retraction is an almost continuous function X—>
A, where AcX and fl A is the identity function on A. In this case, A is said to be
an almost retraction of X.

Run-Time Elimination of Dead-Rules in Forward-Chaining Rule-Based Programs

This paper presents an optimization method to improve execution time of forward-chaining rule based programs. The improvement is achieved by deleting rules that finish firing during run-time. The conditions of the deleted rules are not matched against working memory in later execution cycles and hence the execution time is reduced. Information obtained from control and data-flow analyses is utilized to determine when rules finish firing during nm-time. Since rules are deleted during run-time only after they finish firing the optimization does not change the semantics of the source program. The optimization method can be n final step to other optimization methods. The results of applying the optimization to three CLIPS rule-based programs are presented. These results show significant improvement when the source program contains rules that require significant matching time and finish execution early during run-time.

How to Apply for Financial Aid

Many people who are continuing their education, fund their schooling with financial aid from the federal government. Through the government, there are a couple different tools that you can use to pay for your education. The first one, is with grants. These financial aid instruments do not have to be paid back at any point, but can still provide you with a tremendous amount of aid to put towards your college education. Secondly, you can apply for student loans. A very popular loan is the Stafford Loan, and this is because there is no cosigner needed, and you don’t have to pay the loan back until you are done with school. Applying for these types of aid is very simple.

Getting Student Loans: Bad Credit Or Good

If you are someone who would like to enroll in college but believe you can’t because of a bad credit report, remember that your situation isn’t unique. In our failing economy, millions of people are currently suffering from an inability to pay their monthly bills. There is a way to obtain student loans, bad credit notwithstanding. Even if you have a low credit score, there are still lenders that handle student loans for bad credit individuals. In fact, there are many lenders that will help you despite the condition of your credit history, letting you apply for a bad credit student loan.

Are You Planning To Go For An On Line Phd?

The growing popularity of pursuing education online made way for the beginning of on line PhD.  Students, professionals and other people who are willing but not able to pursue further education through a regular college, can now pursue on line PhD. for career enhancement. Students with a master’s degree and in some cases, bachelor’s degrees are eligible for pursuing PhD courses.

However, there is no such thing as an easy PhD.  On the part of an individual, pursuing and acquiring an online PhD degree requires as much effort as required in a regular PhD course. At the same time, as an enrolled student, you can be assured of the fact that you would attain the same level of understanding as is attainable through a regular PhD course since both are equally focused on research.