Miracle-dz/UniFAR-FTUs huggingface dataset:
Jurnal Ekonomi dan Bisnis

using a proportionate random sampling technique. This research tests the hypothesis using SmartPLS version 3. The results showed that person-organization fit did not affect innovative work behavior. However, person-organization fit has a positive and significant impact on psychological empowerment. Psychological empowerment also positively and significantly impacts innovative work behavior. In addition, psychological empowerment plays a full mediation role in the impact of person-organization fit on innovative work behavior. Limited respondents and less than optimal questionnaire returns are limitations in this study. So, future research is expected to increase respondents' ability to achieve ideal data and develop other independent variables, such as leadership and perceptions of organizational support.
Ren-Hormonal treatment before and after artificial insemination differentially improves fertility in subpopulations of dairy cows during the summer and autumn

Reduced conception rate (CR) during the hot summer and subsequent autumn is a well-documented phenomenon. Intensive use of cooling systems can improve summer and autumn reproductive performance, but is unable to increase CR to winter and spring levels. We examined whether combined hormonal treatments—to increase follicular turnover before artificial insemination (AI) and progesterone supplementation post-AI— might improve fertility of cooled cows during the summer and autumn. The experiment was conducted from July to November in 3 commercial herds in Israel and included 707 Holstein cows at 50 to 60 d in milk (DIM). Cows were hormonally treated to induce 2 consecutive 9-d cycles, with GnRH administration followed by PGF 2α injection 7 d later, followed by an intravaginal insert containing progesterone on d 5 ± 1 post-AI for 14 d. Both untreated controls (n = 376) and treated cows (n = 331) were inseminated following estrus, and pregnancy was determined by palpation 42 to 50 d post-AI. First-AI CR data revealed a positive interaction between treatment and cows previously diagnosed with postpartum uterine disease [odds ratio (OR) 2.24]. Interaction between treatment and low body condition score tended to increase the probability of first-AI CR (OR 1.95) and increased pregnancy rate at 90 DIM (OR 2.50) and at 120 DIM (OR 1.77). Low milk production increased the probability of being detected in estrus at the end of synchronization within treated cows (OR 1.67), and interacted with treatment to increase probability of pregnancy at 90 DIM (OR 2.39) relative to control counterparts. It is suggested that when administered with efficient cooling, combined hormonal treatment in specific subgroups of cows, that is, those previously diagnosed with postpartum uterine disease or those with low body condition score or low milk yield might improve fertility during the summer and autumn. Integration of such an approach into reproductive management during the hot seasons might improve treatment efficiency and reduce expenses.
REAL-TIME REMOTE MONITORING AND FORECASTING SYSTEM FOR GEOLOGICAL DISASTERS OF LANDSLIDES AND ITS ENGINEERING APPLICATION

It is meaningful for researching on monitoring and forecasting technology of slope stability in open pit mine to prevent landslide geological disasters.Based on the mechanical principle of interaction among landslide body,landslide bed and monitoring anchor cable of slope,the mechanical principle of relative movement between landslide body and landslide bed is proposed;and the multi-factor monitoring is transformed into single landslide mechanical monitoring.The relationship between sliding force of slope and pretightening force is provided.According to the physical model experiment of landslide,the stress will change continually inside the landslide mass before the occurrence of landslide.When the sliding force is greater than the anti-sliding force,the deformation and landslide will take place,which means the change of stress will be ahead of displacement.Consequently,monitoring the alteration of stress in the sliding mass is better than that of the displacement.Based on above principle and experiment,the system of real-time remote monitoring and forecasting for geological disasters of landslide is developed,which can realize the real-time remote monitoring of perturbation.Four types of forecasting models corresponding to the system of remote monitoring are also presented.According to the field application to opencast mines slope,this new technology successfully implements monitoring and forecasting for stable condition of slopes.
Tradita innovare, innovata tradere ⋆ The Gothenburg approach to computational lexicography

Swedish computational lexicography has a long history at the University of Gothenburg, both in its primary role as a central aspect of the scientific study of vocabulary and also as an infrastructural component for conducting research based on language data. Starting in the 1960s, the Språkdata research group pioneered corpus-supported lexicography for Swedish, forming the basis for successive editions of the two main descriptive dictionaries of contemporary Swedish, SAOL and SO. Language technological lexical resources for Swedish have been developed by the research unit/research infrastructure Språkbanken Text since the turn of the millennium, most recently in the framework of the Swedish FrameNet++ initiative. After two decades of separation, these two largely mutually independently developed strands of computational lexicography have now joined forces under the umbrella of Språkbanken’s lexical research infrastructure to advance the field technically, methodologically, and scientifically.
AMSSM scienti ﬁ c statement concerning viscosupplementation injections for knee osteoarthritis: importance for individual patient outcomes

Osteoarthritis (OA) is a disabling disease that produces severe morbidity reducing physical activity. Our position statement on treatment of knee OA with viscosupplementation injection (hyaluronic acid, HA) versus steroid (intra-articular corticosteroids, IAS) and placebo (intra-articular placebo, IAP) is based on the evaluation of treatment effect by examining the number of participants within a treatment arm who met the Outcome Measures in Rheumatoid Arthritis Clinical Trials-Osteoarthritis Research Society International (OMERACT-OARSI) criteria, which is different and more relevant than methods used in other reviews which examined if the average change across the treatment groups were clinically different. We performed a systematic literature search for all relevant articles from 1960 to August 2014 in the MEDLINE, EMBASE and Cochrane CENTRAL. We performed a network meta-analysis (NMA) of the relevant literature to determine if there is a bene ﬁ t from HA as compared with IAS and IAP. 11 papers met the inclusion criteria from the search strategy. On NMA, those participants receiving HA were 15% and 11% more likely to respond to treatment by OMERACT-OARSI criteria than those receiving IAS or IAP, respectively (p<0.05 for both). In the light of the aforementioned results of our NMA, the American Medical Society for Sport Medicine recommends the use of HA for the appropriate patients with knee OA.
Prevalence of Postpartum Depression and Anxiety Among Prevalence of Postpartum Depression and Anxiety Among Women Who Got Infected With COVID-19 During Pregnancy Women Who Got Infected With COVID-19 During Pregnancy

Background : Globally, mental health has been severely impacted by the coronavirus disease 2019 (COVID-19) pandemic. Recent research has linked the coronavirus 2 severe acute respiratory syndrome virus ' s transmission to anxiety and depressive symptoms, which are most common in postpartum women. Aim : To detect prevalence of postpartum depression and anxiety among women who got infected with COVID-19 during their pregnancy period. Patients and methods : This observational prospective study was conducted at psychiatry, pulmonology, gynecology, and obstetric clinics in addition to isolation wards at Al-Azhar University hospitals in the period from beginning of January 2022 for 6 months. Thirty-ﬁ ve postpartum women infected with COVID-19 virus while pregnant were recruited during ﬁ rst 4 weeks after delivery. Each woman was screened by Edinburgh Postnatal Depression Scale and Perinatal Anxiety Screening Scale. Positive women were interviewed to con ﬁ rm the diagnosis. Negative scales and uncon ﬁ rmed-diagnosis women were screened again using the same scales 1, 3, and 6 months following the ﬁ rst screen and ﬁ nally the prevalence was detected. Results : In the current study, the mean age was 25.31 ± 5.12 years. Only 19 (54 %) women were diagnosed to have postpartum depression with anxiety symptoms (with positive scales and con ﬁ rmed-diagnosis clinical interview), while 16 (46 %) were not diagnosed (negative-scales þ uncon ﬁ rmed-diagnosis clinical interview). Follow up at 1, 3, and 6 months revealed no additional diagnosed women. Prevalence was 54 % among all participants. Conclusion : Maternal postpartum depression and anxiety in our study are at an elevated level during the COVID-19 pandemic.
Absolute Blood Velocity Measured with a Modified Absolute Blood Velocity Measured with a Modified Fundus Camera Fundus Camera

We present a new method for the quantitative estimation of blood ﬂow velocity, based on the use of the Radon transform. The speciﬁc application is for measurement of blood ﬂow velocity in the retina. Our modiﬁed fundus camera uses illumination from a green LED and captures imagery with a high-speed CCD camera. The basic theory is presented, and typical results are shown for an in vitro ﬂow model using blood in a capillary tube. Subsequently, representative results are shown for representative fundus imagery. This approach provides absolute velocity and ﬂow direction along the vessel center-line or any lateral displacement therefrom. We also provide an error analysis allowing estimation of conﬁdence intervals for the estimated velocity. ©
Unconditionally secure MPC for Boolean circuits with constant online communication

—Through tremendous efforts, the communication cost of secure multi-party computation (MPC) in the honest-majority setting has been significantly improved. In particular, the state-of-the-art honest-majority MPC protocol by Escudero et al. (CCS’22) takes 12 field elements in total per multiplication gate for arithmetic circuits in the online phase. However, it still requires 12 log(5 n/ 4) bits of online communication per AND gate for Boolean circuits. That is, for Boolean circuits, no MPC protocol with constant online communication is known. In this paper, we present an unconditionally secure MPC protocol for Boolean circuits in the honest-majority setting, which has constant online communication complexity and the offline communication complexity linear to the number n of parties. We first describe the semi-honest MPC protocol and then show how to extend it to achieve malicious security, where the maliciously secure protocol has the same communication cost as the semi-honest protocol. In particular, our protocol achieves the amortized communication cost 36 bits per AND gate in the online phase and 30 n +24 bits per AND gate in the offline phase.
Spontaneous Scaling of a Primary Care Innovation in Real-Life Conditions: Protocol for a Case Study

Background: Scaling effective primary care innovations to benefit more people is of interest to decision makers. However, we know little about how promising innovations are being scaled “spontaneously,” that is, without deliberate guidance. Objective: We aim to observe, document, and analyze how, in real-life conditions, 1 primary care innovation spontaneously scales up across Quebec, Canada. Methods: We will conduct a participative study using a descriptive single-case study. It will be guided by the McLean and Gargani principles for scaling and reported according to the COREQ (Consolidated Criteria for Reporting Qualitative Research) guidelines. Informed by an integrated knowledge translation approach, our steering committee will include patient users throughout the project. Inspired by the Quebec College of Family Physician’s “Dragons’ Den” primary care program, we will identify a promising primary care innovation that is being or will be scaled spontaneously. We will interview the innovation team about their scaling experiences every month for 1 year. We will conduct interviews and focus groups with decision makers, health care providers, and end users in the innovation team and the target site about their experience of both scaling and receiving the scaled innovation and document meetings as nonparticipant observers. Interview transcripts and documentary data will be analyzed to (1) compare the spontaneous scaling plan and implementation with the McLean and Gargani principles for scaling and (2) determine how it was consistent with or diverged from the 4 McLean and Gargani guiding principles: justification, optimal scale, coordination, and dynamic evaluation. Results: This study was funded in March 2020 by the Canadian Institutes of Health Research. Recruitment began in November 2023 and data collection began in December 2023. Results are expected to be published in the first quarter of 2024.
Retrieval for Argumentation

Given a text query on a controversial topic, the task of Image Retrieval for Argumentation is to rank images according to how well they can be used to support a discussion on the topic. This paper provides a detailed investigation of the challenges of this task by means of a novel and modular retrieval pipeline. All ﬁndings relate to our work from last year’s CLEF Touché’22 lab and a reproducibility study based on it. There, we demonstrate the uniﬁed retrieval pipeline NeurArgs and provide improved stance models. This work presents the approaches of the two papers, regarding the problems identiﬁed and the solutions provided. Herewith, we achieve an eﬀectiveness improvement in argumentative image detection of up to 0.832 precision@10. However, despite this success, our study also revealed a previously unknown negative result: when it comes to stance detection, none of the tested stance models can convincingly beat a random baseline. Therefore, we conduct a thorough error analysis to understand the inherent challenges of image stance detection and provide insight into potential new approaches to this task.
Mechanical Properties of a Library of Low-Band-Gap Polymers

The mechanical properties of low-band-gap polymers are important for the long-term survivability of roll-to-roll processed organic electronic devices. Such devices, e.g., solar cells, displays, and thin-film transistors, must survive the rigors of roll-to-roll coating and also thermal and mechanical forces in the outdoor environment and in stretchable and ultraflexible form factors. This paper measures the stiffness (tensile modulus), ductility (crack-onset strain), or both of a combinatorial library of 51 low-band-gap polymers. The purpose of this study is to systematically screen a library of low-band-gap polymers to better understand the connection between molecular structures and mechanical properties in order to design conjugated polymers that permit mechanical robustness and even extreme deformability. While one of the principal conclusions of these experiments is that the structure of an isolated molecule only partially determines the mechanical properties—another important codeterminant is the pac.
Resmax: An Alternative Soft-Greedy Operator for Reinforcement Learning

Soft-greedy operators, namely ε -greedy and softmax, remain a common choice to induce a basic level of exploration for action-value methods in reinforcement learning. These operators, however, have a few critical limitations. In this work, we investigate a simple soft-greedy operator, which we call resmax, that takes actions proportionally to their max action gap: the residual to the estimated maximal value. It is simple to use and ensures coverage of the state-space like ε -greedy, but focuses exploration more on potentially promising actions like softmax. Further, it does not concentrate probability as quickly as softmax, and so better avoids overemphasizing sub-optimal actions that appear high-valued during learning. Additionally, we prove it is a non-expansion for any fixed exploration hyperparameter, unlike the softmax policy which requires a state-action specific temperature to obtain a non-expansion (called mellowmax). We empirically validate that resmax is comparable to or outperforms ε -greedy and softmax across a variety of environments in tabular and deep RL.
An intensified hydrological cycle in the simulation of geoengineering by cirrus cloud thinning using ice crystal fall speed changes

Proposals to geoengineer Earth's climate by cirrus cloud thinning (CCT) potentially offer advantages over solar radiation management schemes: amplified cooling of the Arctic and smaller perturbations to global mean precipitation in particular. Using an idealized climate model implementation of CCT in which ice particle fall speeds were increased 2×, 4×, and 8× we examine the relationships between effective radiative forcing (ERF) at the top of atmosphere, near‐surface temperature, and the response of the hydrological cycle. ERF was nonlinear with fall speed change and driven by the trade‐off between opposing positive shortwave and negative longwave radiative forcings. ERF was −2.0 Wm−2 for both 4× and 8× fall speeds. Global mean temperature decreased linearly with ERF, while Arctic temperature reductions were amplified compared with the global mean change. The change in global mean precipitation involved a rapid adjustment (~ 1%/Wm2), which was linear with the change in the net atmospheric energy balance, and a feedback response (~2%/°C). Global mean precipitation and evaporation increased strongly in the first year of CCT. Intensification of the hydrological cycle was promoted by intensification of the vertical overturning circulation of the atmosphere, changes in boundary layer climate favorable for evaporation, and increased energy available at the surface for evaporation (from increased net shortwave radiation and reduced subsurface storage of heat). Such intensification of the hydrological cycle is a significant side effect to the cooling of climate by CCT. Any accompanying negative cirrus cloud feedback response would implicitly increase the costs and complexity of CCT deployment.
MMToM-QA: Multimodal Theory of Mind Question Answering

Theory of Mind (ToM), the ability to understand people's minds, is an essential ingredient for developing machines with human-level social intelligence. Recent machine learning models, particularly large language models, seem to show some aspects of ToM understanding. However, existing ToM benchmarks use unimodal datasets - either video or text. Human ToM, on the other hand, is more than video or text understanding. People can flexibly reason about another person's mind based on conceptual representations (e.g., goals, beliefs, plans) extracted from any available data, which can include visual cues, linguistic narratives, or both. To address this, we introduce a multimodal Theory of Mind question answering (MMToM-QA) benchmark. MMToM-QA comprehensively evaluates machine ToM both on multimodal data and on different kinds of unimodal data about a person's activity in a household environment. To engineer multimodal ToM capacity, we propose a novel method, BIP-ALM (Bayesian Inverse Planning Accelerated by Language Models). BIP-ALM extracts unified representations from multimodal data and utilizes language models for scalable Bayesian inverse planning. We conducted a systematic comparison of human performance, BIP-ALM, and state-of-the-art models, including GPT-4. The experiments demonstrate that large language models and large multimodal models still lack robust ToM capacity. BIP-ALM, on the other hand, shows promising results, by leveraging the power of both model-based mental inference and language models.
effect of L-thymidine, acyclic thymine and 8-bromoguanine on the stability of model G-quadruplex

Background : Guanine-rich oligonucleotides are capable of forming tetrahelical structures known as G-quadruplexes with interesting biological properties. We have investigated the effects of site-specific substitution in the loops and in the tetrads model G-quadruplexes using thymine glycol nucleic acid (GNA) units, L-thymidine and 8-Br-2’-deoxyguanosine. Methods : Modified oligonucleotides were chemically synthesized and spectroscopic techniques were used to determine the relative stability of the modified G-quadruplex. The double 8-BrdG-modified quadruplexes were further characterized by Nuclear Magnetic Resonance. Binding to thrombin of selected quadruplex was analyzed by gel electrophoresis retention assay.
Federated Representation Learning for Indoor-Outdoor Detection in Beyond 5G Networks

Scarcity of labelled datasets makes it challenging to train robust mobile user environment detection models. Labelling and centralizing large data amounts for training is expensive. To address these issues, semi-supervised learning techniques aim to reduce data labelling, while Federated Learning (FL) avoids centralizing the data. In this work, we propose a novel approach for Indoor/Outdoor detection by combining the strengths of federated and semi-supervised learning. It consists of 2 steps: (1) Unsupervised Federated representation Learning to learn representations using large unlabelled data. We leverage unlabelled data from diverse sources situated across various geographical locations. Through FL, we develop high-quality representations by jointly learning from this distributed unlabelled data. (2) We then capitalize on the acquired representations and further employ transfer learning to achieve accurate detection using a reduced amount of labelled data. We also add an optimization module referred as User Behavioural Optimizer that corrects environment detection errors by tracking behavioural anomalies. We obtain an F1-score of 95.06% using only 30% of the entire amount of labelled data available.
INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY: APPLIED BUSINESS AND EDUCATION RESEARCH

Personality traits play a crucial role in shaping theories related to entre-preneurial processes, particularly in terms of entrepreneurial intentions. This study aimed to assess the levels of personality traits and entrepreneurial intentions among Grade 12 students in Science, Technology, Engineering, and Mathematics (STEM) and Humanities and Social Sciences (HUMSS) senior high school programs, as well as to explore their significant relationships. Employing a descriptive correlational research de-sign, the study involved 211 Grade 12 STEM and HUMSS students selected through stratified random sampling. Conducted via online forms, the results indicated high levels of openness to experience, conscien-tiousness, extraversion, agreeableness, and neuroticism, alongside elevated entrepreneurial intentions. Additionally, Spearman’s correlation revealed significant relationships between openness to experience, conscientiousness, extraversion, and agreeableness with entrepreneurial intentions. However, no significant relationship was found between neuroticism and entrepreneurial intentions. Importantly, the study identified relationships between personality traits and entrepreneurial intentions among Grade 12 STEM and HUMSS senior high school learners.