Miracle-dz/UniFAR-FTUs huggingface dataset:
Forgiveness in the Workplace: Fuel for Individual and Organizational Success

“Forgiveness” is often perceived as a baggage-laden word that has religious and/or spiritual connotations. It is also perceived as an abstract philosophical or theological construct that may be defined differently by each individual and, therefore, deemed too “murky and messy” to be considered for its value to leaders and managers as well as employees and other stakeholders. The integration of religion into the public spaces of work is typically frowned upon in modern Western society where the separation of church and state has extended by implication to a separation of church and public spaces (Milliman et al., 2003). Forgiveness is also commonly viewed as “personal” and, therefore, not appropriate to be discussed in the workplace. Workers, in particular, are often expected to separate the work-self from the personal-self between the punches of the timecard. And, though seldom spoken aloud, many feel they are expected to be “non-human” at work. This can lead to a reduction in the feeling of one’s personal values, including forgiveness, being aligned with organizational values (Milliman et al, 2003). Such rigid compartmentalization of identity can lead to employees at all levels feeling their work is devoid of personal or higher meaning and resulting in reduced levels of engagement and satisfaction as well as higher incidents of mistakes and errors (Chalofsky, 2010). Gallup, a global research and performance management enterprise based in the USA reports that over 50 percent of employees are dissatisfied with their bosses or supervisors, the amount of work they are required to do, the recognition they receive for their accomplishments, and the culture of their organizations (Saad, 2012). High levels of stress on the job—especially from workplace issues of rudeness, bullying, and harassment—and being seen as a commodity versus a unique human and spiritual being contribute to dissatisfaction and lack of engagement. Fear of being ridiculed, punished, or shunned for mistakes, including those that are inadvertent, unintended, and without malice is often rampant and can impede people from doing their best work (Glaser, 2007). Leaders and managers are challenged amidst times of rapid change and increasing demands to find innovative ways to fuel success. We believe that “forgiveness”—a topic seldom discussed in leadership and management circles and rarely taught in supervisory training or in higher education—can be a major contributor to employee engagement, satisfaction, and high performance in organizations around the world. Organizational research in recent years has acknowledged the importance of a leadership and management philosophy that treats people as valued assets rather than simply as labor costs to be moved around like pawns on a chess board, tossed aside as used commodities, or eliminated from a balance sheet Forgiveness in the Workplace: Fuel for Individual and Organizational Success
A Near-Zero Refractive Index Meta-Surface Structure for Antenna Performance Improvement

A new meta-surface structure (MSS) with a near-zero refractive index (NZRI) is proposed to enhance the performance of a square loop antenna array. The main challenge to improve the antenna performance is increment of the overall antenna volume that is mitigated by assimilating the planar NZRI MSS at the back of the antenna structure. The proposed NZRI MSS-loaded CPW-fed (Co-Planar Waveguide) four-element array antenna is designed on ceramic-bioplastic-ceramic sandwich substrate using high-frequency structure simulator (HFSS), a finite-element-method-based simulation tool. The gain and directivity of the antenna are significantly enhanced by incorporating the NZRI MSS with a 7 × 6 set of elements at the back of the antenna structure. Measurement results show that the maximum gains of the antenna increased from 6.21 dBi to 8.25 dBi, from 6.52 dBi to 9.05 dBi and from 10.54 dBi to 12.15 dBi in the first, second and third bands, respectively. The effect of the slot configuration in the ground plane on the reflection coefficient of the antenna was analyzed and optimized. The overall performance makes the proposed antenna appropriate for UHFFM (Ultra High Frequency Frequency Modulation) telemetry-based space applications as well as mobile satellite, microwave radiometry and radio astronomy applications.
Flows in Temporal networks

We introduce temporal flows on temporal networks, i.e., networks the links of which exist only at certain moments of time. Temporal networks were defined by Kempe et al. STOC'00 (see also Mertzios et al. ICALP'13). Our flow model is new and differs substantially from the "Flows over time" model, also called "dynamic flows" in the literature. We show that the problem of finding the maximum amount of flow that can pass from a source vertex s to a sink vertex t up to a given time is solvable in Polynomial time, even when node buffers are bounded. We then examine mainly the case of unbounded node buffers. We provide a (simplified) static Time-Extended network, which is of polynomial size to the input and whose static flow rates are equivalent to the respective temporal flow of the temporal network; via that, we prove that the maximum temporal flow is equal to the minimum temporal s-t cut. We further show that temporal flows can always be decomposed into flows, each of which is "pushed" only through a journey, i.e., a directed path whose successive edges have strictly increasing moments of existence. Using the latter, we provide linear expected time algorithms for the maximum s-t temporal flow problem in networks of bounded node degrees with uniform, random, unique availabilities of edges. We then consider mixed temporal networks, which have some edges with specified availabilities and some edges with random availabilities; we show that it is #P-complete to compute the tails and expectations of the maximum temporal flow (which is now a random variable) in a mixed temporal network. Finally, we examine a Ford-Fulkerson inspired algorithm for maximum temporal flow in networks with a single availability for every edge and show that it computes the maximum temporal flow, i.e., there is an extension of the traditional algorithm for our model.
EXISTENCE AND EXPONENTIAL DECAY OF SOLUTIONS

We consider a quasilinear PDE system which models nonlinear vibrations of a thermoelastic plate defined on a bounded domain in R, n ≤ 3. Existence of finite energy solutions describing the dynamics of a nonlinear thermoelastic plate is established. In addition asymptotic long time behavior of weak solutions is discussed. It is shown that finite energy solutions decay exponentially to zero with the rate depending only on the (finite energy) size of initial conditions. The proofs are based on methods of weak compactness along with nonlocal partial differential operator multipliers which supply the sought after “recovery” inequalities. Regularity of solutions is also discussed by exploiting the underlying analyticity of the linearized semigroup along with a related maximal parabolic regularity [14, 38, 2].
Physical Activity Enhancement to a Behavioral Weight Loss Program for Severely Obese Individuals: A Preliminary Investigation

Severe obesity is characterized by low physical activity (PA) and interventions to enhance PA are needed. Participants (45.0 ± 3.9 kg/m2) were randomized to a 6-month standard behavioral weight loss program (SBWL; n = 14) or SBWL+technology (SBWL+TECH; n = 15). Both groups received identical SBWL treatment and SBWL+TECH also received a wearable PA monitor, providing “real-time” feedback, and website access to monitor energy balance. 6-month retention was similar between groups (SBWL: 12/13 versus SBWL+TECH: 11/14 completers; P = 0.19) and adherence to wearing the armband was excellent (91.3% of days). Although differences in PA between groups did not meet conventional thresholds of significance, SBWL+TECH increased their moderate-to-vigorous intensity PA by 132.9 ± 216.8 min/week, which was 3 times greater than SBWL (44.8 ± 124.3 min/week; P = 0.27; Cohen's d = 0.50). There was a trend for SBWL+TECH to self-monitor for a greater proportion of days compared to SBWL (86.2 ± 21.4% versus 71.5 ± 19.4%; P = 0.098; Cohen's d = 0.72). The difference in weight loss between groups was modest (SBWL+TECH: −10.0 ± 7.1% versus SBWL: −7.8 ± 6.7%; P = 0.46). These preliminary findings suggest that PA monitors may be one strategy for increasing PA among the severely obese. Larger, long-term trials are needed.
Data Window With Tunable Side Lobe Ripple Decay

The Fourier transform of the proposed data window is given by the inverse of the product of two Gamma functions. Main lobe bandwidth and side lobe ripple decay can be controlled by a single continuous parameter alpha. The side lobe ripple decay is -20(2alpha - 1) dB/decade. It is proved that the inverse Fourier transform is a time-limited function. For alpha being an integer multiple of 1/2, the window parameters can be directly derived from Pascal's triangle. For alpha = 2, the Hann window is obtained as a special case.
Difficulty in detecting discrepancies in a clinical trial report: 260-reader evaluation

Background: Scientific literature can contain errors. Discrepancies, defined as two or more statements or results that cannot both be true, may be a signal of problems with a trial report. In this study, we report how many discrepancies are detected by a large panel of readers examining a trial report containing a large number of discrepancies. Methods: We approached a convenience sample of 343 journal readers in seven countries, and invited them in person to participate in a study. They were asked to examine the tables and figures of one published article for discrepancies. 260 participants agreed, ranging from medical students to professors. The discrepancies they identified were tabulated and counted. There were 39 different discrepancies identified. We evaluated the probability of discrepancy identification, and whether more time spent or greater participant experience as academic authors improved the ability to detect discrepancies. Results: Overall, 95.3% of discrepancies were missed. Most participants (62%) were unable to find any discrepancies. Only 11.5% noticed more than 10% of the discrepancies. More discrepancies were noted by participants who spent more time on the task (Spearman’s ρ = 0.22, P < 0.01), and those with more experience of publishing papers (Spearman’s ρ = 0.13 with number of publications, P = 0.04). Conclusions: Noticing discrepancies is difficult. Most readers miss most discrepancies even when asked specifically to look for them. The probability of a discrepancy evading an individual sensitized reader is 95%, making it important that, when problems are identified after publication, readers are able to communicate with each other. When made aware of discrepancies, the majority of readers support editorial action to correct the scientific record.
A decidable propositional probabilistic dynamic logic

A propositional version of Feldman and Harel's Pr (DL) is defined, and shown to be decidable. The logic allows propositional-level formulas involving probabilistic programs, and contains full real-number theory for dealing with probabilities. The decidability proof introduces model schemes, which seem to be the most basic structures relating programs and probabilities.
Some Classes of Numbers and Derivatives

We prove that three classes of numbers – the non-central Stirling numbers of the first kind, generalized factorial coefficients, and Gould-Hopper numbers – may be defined by the use of derivatives. We derive several properties of these numbers from their definitions. We also prove a result for harmonic numbers. The coefficients of Hermite and Bessel polynomials are a particular case of generalized factorial coefficients, The coefficients of the associated Laguerre polynomials are a particular case of GouldHopper numbers. So we obtain some properties of these polynomials. In particular, we derive an orthogonality relation for the coefficients of Hermite and Bessel polynomials.
Cultural intelligence and employees’ creative performance: The moderating role of team conflict in interorganizational teams

Abstract Recently, an increasing number of organizations conduct collaborative innovation by establishing interorganizational teams comprising employees from different organizations. Given that employees face immense challenges because of organizational culture differences in interorganizational teams, this study focused considerably on cultural intelligence in the interorganizational context. This cultural intelligence refers to the ability of individuals to deal effectively with organizational culture differences. Our research particularly explored the effect of employees’ cultural intelligence on their creative performance and the moderating effects of two types of team conflicts through hierarchical linear modeling. The sample was obtained from 54 interorganizational teams that included 275 employees. Results confirmed a positive relationship between employees’ cultural intelligence and their creative performance and the positive relationship will be stronger in higher relationship conflicts and lower task conflicts. The theoretical and practical implications of this study were also discussed.
Molecular Modeling Studies of the Novel Inhibitors of DNA Methyltransferases SGI-1027 and CBC12: Implications for the Mechanism of Inhibition of DNMTs

DNA methylation is an epigenetic modification that regulates gene expression by DNA methyltransferases (DNMTs). Inhibition of DNMTs is a promising approach for cancer therapy. Recently, novel classes of the quinolone-based compound, SGI-1027, and RG108-procainamide conjugates, CBC12, have been identified as potent DNMT inhibitors. In this work, we report comprehensive studies using induced-fit docking of SGI-1027 and CBC12 with human DNMT1 and DNMT3A. The docking was performed in the C-terminal MTase catalytic domain, which contains the substrate and cofactor binding sites, in the presence and absence of other domains. Induced-fit docking predicts possible binding modes of the ligands through the appropriate structural changes in the receptor. This work suggests a hypothesis of the inhibitory mechanisms of the new inhibitors which is in agreement with the reported autoinhibitory mechanism. The insights obtained in this work can be used to design DNMT inhibitors with novel scaffolds.
Platform for Creating Collaborative E-Learning Communities Based on Automated Composition of Learning Groups

The current paper presents a platform for self-built e-learning communities, in which a trainee enrolls into the educational process, gains points through achievements and ultimately becomes a trainer, based on those points. When creating a new account, an intelligent profile is attached to the newly created trainee. This profile is composed by the information received from several sources: the form filled by the trainee and the data obtained from querying the social graph of the student. Currently, the social graph is fed with the data extracted from the Facebook profile of the student, through a Facebook connector, which exports RDF data. The intelligent profile of the student is used to build optimal learning groups, by applying a Particle Swarm Optimization algorithm. The authors claim that quantifying various indicators, such as similarity between the type of interest of the participants and background diversity, within a group and between groups could influence the efficiency of learning groups. The paper also offers preliminary results regarding the effectiveness of this kind of approach in creating collaborative e-learning environments.
Using Roles of Variables in Teaching: Effects on Program Construction

Roles of variables capture tacit expert knowledge in a form that can, e.g., be taught in introductory programming courses. A role describes some stereo- typic use of variables, and only ten roles are needed to cover 99 % of all variables in novice-level procedural programs. This paper presents the results from a pro- tocol analysis of program creation tasks in an experiment where roles were intro- duced to novices learning Pascal programming. Students were divided into three groups that were instructed differently: in the traditional way with no treatment of roles; using roles throughout the course; and using a role-based program an- imator in addition to using roles in teaching. The results suggest that the use of the program animator increases novices' ability to apply data-related program- ming plans in program construction and thus increases programming skill. Plan knowledge and use is analyzed using a new model that is based on Rist's theory of schema expansion.
CHOP6: A DHT Routing Mechanism Considering Proximity

This paper proposes a DHT routing mechanism called CHOP6. CHOP6 takes proximity into account by using the properties of the IPv6 address format. CHOP6 introduces the 64-bit node ID, in which the lower part is the IPv6 global routing prefix. By examining the node ID, it is possible to roughly estimate the proximity to the node. Similar to Chord, CHOP6 uses the finger table. In CHOP6, the finger table entry holds more than one candidate nodes. When sending a query, the source node estimates the proximity to the candidate nodes by examining the node IDs if the RTT to the nodes is unknown. CHOP6 was implemented in Java on FreeBSD. The measured results showed that the time to get data in CHOP6 is less than that in Chord and the number of the messages necessary to maintain routing information in CHOP6 is also less than that in Chord
The pattern across the continental United States of evapotranspiration variability associated with water availability

The spatial pattern across the continental United States of the interannual variance of warm-season water-dependent evapotranspiration, a pattern of relevance to land-atmosphere feedback, cannot be measured directly. Alternative and indirect approaches to estimating the pattern, however, do exist, and given the uncertainty of each, we use several such approaches here. We first quantify the water-dependent evapotranspiration variance pattern inherent in two derived evapotranspiration datasets available from the literature. We then search for the pattern in proxy geophysical variables (air temperature, streamflow, and NDVI) known to have strong ties to evapotranspiration. The variances inherent in all of the different (and mostly independent) data sources show some differences but are generally strongly consistent – they all show a large variance signal down the center of the U.S., with lower variances toward the east and (for the most part) toward the west. The robustness of the pattern across the datasets suggests that it indeed represents the pattern operating in nature. Using Budyko’s hydroclimatic framework, we show that the pattern can largely be explained by the relative strength of water and energy controls on evapotranspiration across the continent.
A new TCP congestion control with empty queues and scalable stability

We describe a new congestion avoidance system designed to maintain dynamic stability on networks of arbitrary delay, capacity, and topology. This is motivated by recent work showing the limited stability margins of TCP Reno/RED as delay or network capacity scale up. Based on earlier work establishing mathematical requirements for local stability, we develop new flow control laws that satisfy these conditions together with a certain degree of fairness in bandwidth allocation. When a congestion measure signal from links to sources is available, the system can satisfy also the key objectives of high utilization and emptying the network queues in equilibrium. We develop a packet-level implementation of this protocol, where the congestion measure is communicated back to sources via random exponential marking of an ECN bit. We discuss parameter choices for the marking and estimation system, and demonstrate using ns-2 simulations the stability of the protocol, and the nearempty equilibrium queues, for a wide range of delays. Comparisons with the behavior of Reno /RED are provided. We also explore the situation where ECN is not used, and instead queueing delay is used as a pricing signal. This alternative protocol is also stable, but will inevitably exhibit nontrivial queues.
Change in mental health status of young children participating in a respite service.

OBJECTIVE The objective of this study was to determine the extent of changes in mental health status of children in a respite service as little has been reported on this aspect of respite care. METHOD All families enrolled in a new centre-based respite program in a moderately large urban center in Canada were invited to participate. The child's primary caregiver completed the Strengths and Difficulties Questionnaire (SDQ) at baseline, mid-point and endpoint, as did respite staff. A comparison group of primary caregivers seeking respite care also completed the same ratings at baseline and at one-follow-up point. RESULTS The children's primary caregivers perceived high levels of mental health difficulties in their children at baseline; significantly more than respite providers. No significant changes were found between SDQ baseline and endpoint values for either primary caregivers or respite workers. The amount of change between baseline and midpoint was no different for the intervention and comparison group. CONCLUSIONS No evidence of a positive impact on child mental health status by the new respite program as measured by the SDQ was detected. Specific evidence-based child mental health interventions may need to be paired with respite care to improve child mental health outcomes.
FAILURE OF THE HASSE PRINCIPLE FOR ATKIN-LEHNER QUOTIENTS OF SHIMURA CURVES OVER Q

We show how to construct counter-examples to the Hasse principle over the field of rational numbers on Atkin–Lehner quotients of Shimura curves and on twisted forms of Shimura curves by Atkin–Lehner involutions. A particular example is the quotient of the Shimura curve X23∙107 attached to the indefinite rational quaternion algebra of discriminant 23∙107 by the Atkin–Lehner involution ω107. The quadratic twist of X23∙107 by Q( √ −23) with respect to this involution is also a counter-example to the Hasse principle over Q.
The Naïve B Cells are the Lymphocytes with the Highest Anionic Phospholipid Binding Ratios

Phospholipids (PLs) are the target for the clearance of apoptotic cells, and for the innate defense against malignant cancers or microbial infections. Several types of receptors for PLs were described on T lymphocytes, but not yet on B lymphocytes. To detect PLs binding lymphocytes two assays were used: a- FITC labelled liposomes, b- Petri dish coated with different PLs. The phenotype of lymphocytes was determined by FACS, using anti-CD mAb and anti-Ig polyclonal antibodies. Human lymphocytes bind PLs, the binding ratio decreases in the order phosphatidylserine (PS), cardiolipin (CL), phosphatidylethanolamine, and phosphatidylcholine. In healthy blood donors (n=17), 29% of B lymphocytes, 17% of NK cells, 9% of TCD4 + , and 4% of TCD8 + bind PS. Among B cells, the binding ratio varies with the subset, 49% for naive cells (sIgM + sIgD + ), 42% for sIgA + , and 15% for sIgG + B cells. PL binding was not affected by the CD5 phenotype of B lymphocytes, nor by the HIV status of the donors (n=16) or the presence in the sera of IgG anti- CL antibodies. Pretreatment of lymphocytes with proteases inhibited the binding of PL, suggesting that binding is due to surface proteins. For each type of lymphocytes the various kinds of surface proteins which bind lipids, pattern recognition receptors, surface immunoglobulins, the lipid antigen presenting molecules CD1, and the CD1-restricted lipid antigen reactive TCR of NKT cells, are discussed.