Miracle-dz/UniFAR-FTUs huggingface dataset:
Intermediating Role of Human Resource Management in Organizational Conflict and its influence on Organizational Effectiveness–Evidence from Bangladesh’s Banking Sector

Since the economy has changed due to globalization, markets have become extremely competitive. The market system is shaping the expansion of business, the economy, and other areas. As a result, human resource management (HRM) plays a crucial function. The study’s goal is to assess the effectiveness of human resource management (HRM) and how organizational disputes affect HRM’s influence on organizational effectiveness in Bangladesh’s banking industry. This paper used primary data from 400 employees in Bangladesh’s banking industry through a questionnaire, of which 310 were returned for the purpose of testing study hypotheses. PLS-SEM has been used for data analysis and the result shows that the functional conflict has a favorable link to organizational success. Additionally, it has been discovered that HRM practices have a substantial impact on organizational effectiveness and can change dysfunctional conflict into functional conflict. The finding in this study reveals that there is a strong correlation between dysfunctional conflict and organizational success. This paper provides administrators in Bangladesh’s banking sector with an essential framework for comprehending why HRM is important in banks and other enterprises and demonstrates a positive association between HRM performance and organizational success.
The Assessment of the Prevalence and Disability Severity of Musculoskeletal Pain in Patients With Multiple Sclerosis in Saudi Arabia

Background Multiple sclerosis (MS) is an autoimmune disease of the nervous system that causes chronic demyelination over time and may lead to physical disability. MS-related pain may be musculoskeletal, paroxysmal, or persistently neurogenic in nature. The most common type of pain is musculoskeletal discomfort, which is typically brought on by muscle weakening, stiffness, and generalized imbalance as the condition progresses. Pain often manifests after prolonged immobilization of muscles, tendons, and ligaments. Aim We aimed to evaluate the prevalence and severity of musculoskeletal pain (MSP) among MS patients in Saudi Arabia. Methodology A quantitative cross-sectional study was conducted. Patients with confirmed MS in Saudi Arabia were invited to participate in the study during the duration from April 2022 to May 2022. Data were collected using an electronic collection tool. The study tool was checked to ensure the content validity and clarity of the Arabic and English versions. Results A total of 360 MS patients were included. Patients’ ages ranged from 18 to 65 years with a mean age of 34.9±13.2 years old. Exactly 229 (63.6%) patients were females. A total of 104 (28.9%) patients complained of relapsing-remitting MS, 34 (9.4%) complained of primary progressive MS, and 16 (4.4%) complained of secondary progressive MS. A total of 138 (38.3%) patients had the disease for less than five years, and 14 (3.9%) had the disease for more than 21 years. Exactly 124 (34.4%) MS patients complained of high disability due to MSP, while 236 (65.6%) had low disability. Conclusions This study demonstrates that one out of each three patients with MS complained of pain with high disability associated with pain. Old age, comorbidities, long disease duration, and a family history of MS were significant determinants of associated disability severity.
Improving precision and power in randomized trials with a two‐stage study design: Stratification using clustering method

In a randomized controlled trial (RCT), it is possible to improve precision and power and reduce sample size by appropriately adjusting for baseline covariates. There are multiple statistical methods to adjust for prognostic baseline covariates, such as an ANCOVA method. In this paper, we propose a clustering‐based stratification method for adjusting for the prognostic baseline covariates. Clusters (strata) are formed only based on prognostic baseline covariates, not outcome data nor treatment assignment. Therefore, the clustering procedure can be completed prior to the availability of outcome data. The treatment effect is estimated in each cluster, and the overall treatment effect is derived by combining all cluster‐specific treatment effect estimates. The proposed implementation of the procedure is described. Simulations studies and an example are presented.
Comparative study of the transient evolution of Hanle electromagnetically induced transparency and absorption resonances

The temporal evolutions of electromagnetically induced transparency (EIT) and absorption (EIA) were observed in a Hanle absorption experiment carried on the D 2 lines of 8 7 Rb vapor by suddenly turning the magnetic fieldon or off. The main features of the experimental observations are well reproduced by a theoretical model based on Bloch equation where the atomic level degeneracy has been fully accounted for. Similar (opposite phase) evolutions were observed at low optical-field intensities for Hanle-EIT or Hanle-EIA resonances. Unlike the Hanle-EIA transients that are increasingly shorter for driving field intensities approaching saturation, the B ≠ 0 transient of the Hanle-EIT signal at large driving field intensities present a long decay time approaching the atomic transit time. Such counterintuitive behavior is interpreted as a consequence of the Zeno effect.
Neutrophil-lymphocyte ratio as a predictor of outcome following traumatic brain injury: Systematic review and meta-analysis

Objectives: The neutrophil-to-lymphocyte ratio (NLR) is a simple and routinely performed hematological parameter; however, studies on NLR as a prognostic tool in traumatic brain injury (TBI) have yielded contradictory results. Materials and Methods: This systematic review and meta-analysis was conducted according to the Preferred Reporting Items in the Systematic Review and Meta-Analysis guidelines 2020. Electronic databases of PubMed, Cochrane Library, Web of Science, and Scopus were searched. The population consisted of TBI patients in the absence of moderate and severe extracranial injury. Day 1 NLR was taken for the analysis. The outcomes evaluated were mortality and the Glasgow Outcome Scale (GOS). No restrictions were placed on the language, year and country of publication, and duration of follow-up. Animal studies were excluded from the study. Studies, where inadequate data were reported for the outcomes, were included in the qualitative synthesis but excluded from the quantitative synthesis. Study quality was evaluated using the Newcastle-Ottawa scale (NOS). The risk of bias was estimated using the Cochrane RoBANS risk of bias tool. Results: We retrieved 7213 citations using the search strategy and 2097 citations were excluded based on the screening of the title and abstract. Full text was retrieved for 40 articles and subjected to the eligibility criteria, of which 28 were excluded from the study. Twelve studies were eligible for the synthesis of the systematic review while seven studies qualified for the meta-analysis. The median score of the articles was 8/9 as per NOS. The risk of selection bias was low in all the studies while the risk of detection bias was high in all except one study. Ten studies were conducted on adult patients, while two studies reported pediatric TBI. A meta-analysis for GOS showed that high NLR predicted unfavorable outcomes at ≥6 months with a mean difference of −5.18 (95% confidence interval: −10.04, −0.32); P = 0.04; heterogeneity (I2), being 98%. The effect estimates for NLR and mortality were a mean difference of −3.22 (95% confidence interval: −7.12, 0.68), P = 0.11, and an I2 of 85%. Meta-analysis for Area under the curve (AUC) receiver operating characteristic of the included studies showed good predictive power of NLR in predicting outcomes following TBI with AUC 0.706 (95% CI: 0.582–0.829). Conclusion: A higher admission NLR predicts an increased mortality risk and unfavorable outcomes following TBI. However, future research will likely address the existing gaps.
STATE OF GENDER EQUALITY IN AND BY ARTIFICIAL INTELLIGENCE

When talking about sustainability, we usually think that it is only about safeguarding the environment; nothing is further from reality. Of course, the environment is a crucial component of sustainability and our survival, but it is important to recall that the society and the economy play important roles in this regard, and without the interconnection and development of these three perspectives it will not be possible to achieve sustainable progress. The Sustainable Development Goals (SDGs) established by the United Nations (UN) defend this idea and address the main challenges that humanity faces. One of these challenges is gender equality, which is identified in the perspective of social sustainability through SDG 5. Gender equality is a very complex and difficult challenge to address due to the great cultural diversity of our society. Thus, achieving this goal will require laying a solid foundation and working together by combining very different fields of knowledge. In this sense, Artificial Intelligence (AI) is one of the fields that is currently having the greatest impact and relevance for the development of new technologies and for the advancement of numerous areas. This growing evolution of AI demonstrates that its repercussions at the social level must be analyzed and addressed in such a way that AI becomes a positive asset for sustainability and, in this particular case, for gender equality. For all these reasons, this study aims to analyze the current state of the art and collect the existing knowledge in the fields of AI and gender equality, by conducting a Systematic Mapping Study (SMS). The obtained results and findings have allowed us to identify the most relevant advances in this regard, as well as the gaps and drawbacks that currently exist and on which we must urgently focus to address gender equality both in and by AI. In the same way, these findings demonstrate the limited joint development of both fields, but also indicate an increase in the relevance and the number of proposals that these fields are receiving in recent years.
Towards abstractive summarization in Hungarian

We publish an abstractive summarizer for Hungarian, an encoder-decoder model initialized with huBERT, and ﬁne-tuned on the ELTE.DH corpus of former Hungarian news portals. The model produces ﬂuent output in the correct topic, but it hallucinates frequently. Our quantitative evaluation on automatic and human transcripts of news (with automatic and human-made punctuation) shows that the model is robust with respect to errors in either automatic speech recognition or automatic punctuation restoration.
DIFFERENTIABILITY OF SAMPLE FUNCTIONS IN GAUSSIAN PROCESSES1

J. YEH 1. Let {£(0> t(ET}, T= [0, l], be a Gaussian process, defined on an underlying probability space (X, %, P), in which X is the collection of all real valued functions x(t) defined on T, % is the o--field of subsets of X generated by the Borel cylinders in X, and £(/) is defined by ? (/, x) = x(t) for t G T, x G X. Here, by a Borel cylinder in X, we mean a subset Bx of X defined by Bx= {xGX;[x(h), ■ ■ ■ ,x(tn)]EB} where t%, ■ ■ ■ , tn(E.T, and B is a Borel set in the ra-dimensional Euclidean space. Such a process exists according to the Kolmogoroff Extension Theorem. If, further, (1) E{Z(t)} =0 iortET, and for some /3, b>0, (2) E{ I £(/) W) I2} ̂ b | f t" \" for t', t" G T and the process is separable then2 P*(Ci) = 1 for 0 < X < 0/2 where P* is the outer measure of P and C\ is the subset of X consisting of the Lipschitz X-continuous elements, i.e., those functions which satisfy | x(t') x(t") | ^ h | t' t" |x for i, t" G r with h depending on x. In this article we consider the differentiability of the sample paths x(t) of the process {£(£), t^T}. We shall assume that our process satisfies the additional condition that for some a, a>0, (3) E{ j W) £(/') |2} £ a | f t" |« for /', t" G T. Our result is stated in the theorem in §2, after a brief discussion of
C-terminal tail length guides insertion and assembly of membrane proteins

A large number of newly synthesized membrane proteins in the endoplasmic reticulum (ER) are assembled into multiprotein complexes, but little is known about the mechanisms required for assembly membrane proteins. It has been suggested that membrane chaperones might exist, akin to the molecular chaperones that stabilize and direct the assembly of soluble protein complexes, but the mechanisms by which these proteins would bring together membrane protein components is unclear. Here, we have identified that the tail length of the C-terminal transmembrane domains (C-TMDs) determines efficient insertion and assembly of membrane proteins in the ER. We found that membrane proteins with C-TMD tails shorter than ~ 60 amino acids are poorly inserted into the ER membrane, which suggests that translation is terminated before they are recognized by the Sec61 translocon for insertion. These C-TMDs with insufficient hydrophobicity are post-translationally recognized and retained by the Sec61 translocon complex, providing a time window for efficient assembly with TMDs from partner proteins. Retained TMDs that fail to assemble with their cog-nate TMDs are slowly translocated into the ER lumen and are recognized by the ER-associated degradation (ERAD) pathway for removal. In contrast, C-TMDs with sufficient hydrophobicity or tails longer than ~ 80 residues are quickly released from the Sec61 translocon into the membrane or the ER lumen, resulting in inefficient assembly with partner TMDs. Thus, our data suggest that C-terminal tails harbor crucial signals for both the insertion and assembly of membrane proteins. Membrane
RATIONAL SEWAGE WATER UTILIZATION AND ITS IMPACT ON THE PROXIMATE AND NUTRITIONAL QUALITY OF CABBAGE ( BRASSICA OLERACEA L.)

This study was conducted to evaluate the effect of different ratios of fresh and untreated sewage water irrigation on the proximate and nutritional quality of cabbage. The experiment consisted of four ratios of sewage to freshwater viz. 75%+25% (T1), 50%+50% (T2), 25%+75% (T3) and 0%+100% (T4), respectively, the control being 100% sewage water. The result for all irrigation matrices showed moisture% in a range between 86.82 and 89.89, crude protein% (1.64 to 2.88), crude fat% (0.31 to 2.28), crude fiber% (3.05 to3.59), ash% (0.63 to 3.54), carbohydrate% (1.03 to 5.29) and energy Kcal/100 g (26.70 to 36.35), while the mineral composition for all irrigation matrices was found between (32.66 to 75.57) mg/100 g Ca, Vitamin C (10.67 to 32.21), Na (11.77 to 17.92), K (40.61 to 104.31), Zn (2.60 to 13.30), Cu (1.56 to 3.44), Fe (3.14 to 12.37), Mn (1.83 to 5.42), Mg (13.31 to 20.99) and Co (0.20 to 1.06). The result of the study suggested that the concentration of metal is within the Recommended Dietary Allowance (mg metal/day) of 100 g cabbage meal. The vegetable could be marketed as a protein supplement in deprived rural areas, and its high potassium content could be used to prevent hypertension and other cardiovascular diseases. The relatively high concentrations of zinc, iron, and manganese can prevent the problem of micronutrient deficiencies.
Estimating Body Shapes From Body Measurements

— E-commerce increases every single day, however it is still hard for people to buy clothes online because they have no idea of how they will look. To this end, we present an approach to model an approximation of a human body shape with a given set of body measurements in order to fit virtual clothes. To estimate a new body shape from body measurements we compared two different models that we developed. The first one uses linear transformations and the other uses PCA weights to estimate a new shape. Additionally, we selected the minimum number of body measurements required to perform an estimation with a similar shape as the ground truth. We evaluated our approach by comparing our results with estimations, and through visual evaluation via pictures and measurements taken from real people.
Postdoctoral research position (12 months) with CRAN/SiMul in Nancy, France Geometric Bayesian inference for bivariate signals

Bivariate signals are ubiquitous in many areas whenever there is the need to represent and evidence the interrelation between coupled observables. Bivariate signals describe trajectories in a 2D plane whose geometric properties (e.g. directionality) have a natural interpretation in terms of the physical notion of polarization usually used for waves. More generally, polarization encodes the evolution of geometric properties with respect to other variables, such as time, frequency, or spatial coordinates. Fig. 1 depicts an example of a bivariate AM-FM signal, whose polarization properties evolve slowly with time, resulting in complex interrelations between amplitude and phase of each bivariate component. Being able to properly model and reconstruct polarization-based observables is crucial to many applications: for instance, in gravitational wave (GW) astronomy, inference of the instantaneous polarization of GW signals provides unique insights on the orbital motion of the GW source [1]. The ANR grant RICOCHET aims to unlock these essential physical insights by the development of a complete set of theoretical and methodological tools to fully exploit the polarization information of bivariate signals. This postdoc project focuses on the development of new statistical inference tools for bivariate signals. We will consider a Bayesian framework, as it allows for natural modelling of prior information and the computation of credible intervals. The expected contributions are twofold:
RNA-Profein Interactions in the Regulation of Coronavirus RNA Replication and Transcription

Coronavirus, with a 31 -kb RNA genome, replicates its own RNA and transcribes subgenomic mRNAs by complex mechanisms. Viral RNA synthesis is regulated by multiple RNA regions, which appear to interact either directly or indirectly. Multiple cellular proteins bind to these regions and may undergo additional protein-protein interactions. These findings suggest that coronavirus RNA synthesis is carried out on a ribonucleoprotein via a mechanism that involves both viral and cellular proteins associated with viral RNA, similar to DNA-dependent RNA transcription. This mode of RNA synthesis may be applicable to most RNA viruses
Device Fabrication and Optimisation for Josephson Broadband Spectroscopy of Ferroelectric Thin Films

Conventional methods of detecting dielectric properties of ferroelectric thin films like microwave techniques, are difficult to operate in a frequency range higher than around 50 GHz. Optical methods based on measurement of refractive indices of materials operate in the THz range. In this work, use of a simple and convenient technique to investigate the dielectric properties of ferroelectric thin films in the millimetre wave-band (50–1000 GHz) is discussed. Here we report measurements of ϵ R and the tunability of ϵ R of thin films of STO.
Symmetry analysis of structural transitions between phases not necessarily group-subgroup related. Domain structures

It is shown that, in phase transitions, a theory of symmetry can be derived in the case where there is no group-subgroup relationship assumed between space groups of both phases, provided that a condition of nondisruption is obeyed at the transition. This condition states that any one of the structures of both phases can be described in the frame of reference of the other. A classification of structural transitions, based on symmetry, is proposed. Then, consequences of the hypotheses made are derived for domain structures arising from transition. Two examples, KCl${\mathrm{O}}_{3}$ and BaTi${\mathrm{O}}_{3}$, which are known from experiment to undergo a phase transition in which there is no such a group-subgroup relationship, are discussed.
All-Sky 4.85 GHz Flux Measurements of H II Regions

We present an all-sky flux catalog of 760 H II regions with angular sizes ranging up to 10' at 4.85 GHz. The data were compiled in a self-consistent manner from existing images of the Green Bank and Parkes-MIT-NRAO 4.85 GHz radio continuum surveys. Nearly 35% of these H II regions have fluxes measured from these surveys for the first time. We compared our results to the previously published source catalogs that fit the same data. The new flux measurements agree within 5%-7% of these values and fall well within the formal errors. The diameters fall within 16% of the previously published fits to the same data, which is within the formal uncertainties of these values.
Polarimetry of millisecond pulsars

The mean polarization profiles of several fast pulsars were measured. Observations of pulsar PSR 1937 + 21 are similar to previously published results, except that a shallower position angle was found to swing across the pulse at low frequency; for the first time, the occurrence of orthogonal mode switching at all frequencies is explicitly demonstrated. Contrary to previous reports, it is shown that PSR 1953 + 29 is substantially linearly polarized in its first and third components. In addition, the first polarization measurements of the recently discovered millisecond pulsar PSR 1957 + 20 are presented. No evidence is found that the polarization properties of these recycled pulsars differ from those of their slower counterparts. Available data on the spectral development of millisecond pulsar profiles is also reviewed. It is emphasized that millisecond pulsars severely test phenomenological models such as the one proposed by Rankin (1983, 1990). 27 refs.
Improved device performance in a CNTFET using La 2 O 3 high- κ dielectrics

The scaling of MOSFETs is an important and effective way for achieving high performance and low power consumption. One of the bottlenecks for scaling is the physical gate oxide thickness. This paper presents and evaluates a new method for scaling carbon nanotube ﬁeld-effect transistors (CNTFETs) using La 2 O 3 as a new gate dielectric, which has excellent electrical properties. The proposed CNTFET is simulated using HSPICE. Some of the main digital and analog parameters such as current ratio, subthreshold swing (SS), transconductance, and intrinsic gain have been studied. The simulation results show that the proposed CNTFET outperforms present CNTFETs in terms of current ratio, transconductance, and intrinsic gain.
An explicit solution for optimal investment in Heston model

In this paper we consider a variation of the Merton's problem with added stochastic volatility and finite time horizon. It is known that the corresponding optimal control problem may be reduced to a linear parabolic boundary problem under some assumptions on the underlying process and the utility function. The resulting parabolic PDE is often quite difficult to solve, even when it is linear. The present paper contributes to the pool of explicit solutions for stochastic optimal control problems. Our main result is the exact solution for optimal investment in Heston model.
Percolation in the random cluster process and Q-state Potts model

The critical probabilities pT=pT(Q) and pH=pH(Q) of the random cluster model with parameter Q>or=1 on the square lattice are shown to satisfy pT<or= square root Q/(1+ square root Q)<or=pH, pH<or=Q(1-pT)/(pT+Q(1-pT)). The last inequality is the Q-analogue of the relation pT+pH<or=1 of ordinary (Q=1) percolation, though of course in this case equality holds.
Path planning algorithm based on improved Bidirectional RRT

This paper studies the autonomous path planning of unmanned vehicles in a known driving environment. The path planning algorithm used is a hybrid algorithm combining bidirectional fast random search tree and artificial potential field method. On the basis of introducing the principle of the two algorithms, an improved algorithm combining Bi-RRT and artificial potential field is proposed. In order to reflect the advantages of the improved algorithm, the traditional RRT and Bi-RRT algorithms are simulated and compared in Matlab.