Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Big Data on Innovation Performance: The The Impact of Big Data on Innovation Performance: The Mediating Role of Market-driven Capability Mediating Role of Market-driven Capability

Big data has received significant attention in recent years. However, little is known concerning the impact of big data characteristics on innovation performance. This research-in-progress study draws on the organizational learning theory to investigate the influence of big data characteristics on innovation performance mediated by market-driven capability. A survey-based research is outlined to test the proposed research model using structural equation modeling techniques. Prospective contributions to theory and practice are also explained.
Long-term Action Forecasting Using Multi-headed Attention-based Variational Recurrent Neural Networks

Systems developed for predicting both the action and the amount of time someone might take to perform that action need to be aware of the inherent uncertainty in what humans do. Here, we present a novel hybrid generative model for action anticipation that attempts to capture the uncertainty in human actions. Our model uses a multi-headed attention-based variational generative model for action prediction (MAVAP), and Gaussian log-likelihood maximization to predict the corresponding action’s duration. During training, we optimise three losses: a variational loss, a negative log-likelihood loss, and a discriminative cross-entropy loss. We evaluate our model on benchmark datasets (i.e., Breakfast and 50Salads) for action forecasting tasks and demonstrate improvements over prior methods using both ground truth observations and predicted features from an action segmentation network (i.e., MS-TCN++). We also show that factorizing the latent space across multiple Gaussian heads predicts better plausible future action sequences compared to a single Gaussian.
A practical second-order optimality condition for cardinality-constrained problems with application to an augmented Lagrangian method *

This paper addresses the mathematical programs with cardinality constraints (MPCaC). We ﬁrst deﬁne two new tailored ( strong and weak ) second-order necessary conditions , MPCaC-SSONC and MPCaC-WSONC. We then propose a constraint qualiﬁcation (CQ), namely, MPCaC-relaxed constant rank constraint qualiﬁcation (MPCaC-RCRCQ), and establish the validity of MPCaC-SSONC at minimizers under this new CQ. All the concepts proposed here are based on the so-called M-stationarity, which is the suitable ﬁrst-order stationarity for MPCaC. Furthermore, they are deﬁned using only original variables, without the help of auxiliary variables of an augmented problem commonly considered in this context. This makes the proposed second-order stationarity concepts suitable to MPCaC. Moreover, we discuss the application of a second-order augmented Lagrangian algorithm on MPCaCs and prove its global convergence to MPCaC-WSONC points under our MPCaC-RCRCQ. The relationship between the tailored MPCaC-WSONC and the standard WSONC (applied to a reformulated problem) are also discussed and shows that the tailored condition is more adequate for studying global convergence of algorithms for the MPCaC context.
THE IMPLEMENTATION OF ONLINE MEDIA METHOD IN TEACHING TRANSLATION

The process of learning and teaching translation still becomes something difficult for teachers and students in Indonesia. Currently, the method used by teachers for teaching translation is still traditional method. Therefore, students feel bored while learning translation because they get the same instruction every time. Thus, it needs to implement a modern method for teaching translation to engage and motivate students in learning translation. The aim of the research was to find out the effective and appropriate method for teaching translation of secondary school students. In addition, it was to know the effectiveness of online media method for teaching translation. The research was a case study. The participants were students at secondary school. The collecting data was conducted by observing the students during Translation teaching and giving a questionnaire to participants.Based on the observation, it was found that traditional method was dominant used by teachers in Teaching translation. The implementation of online media gives a positive impact to students. Students become more active after learning by on-line media than traditional method. Therefore, teacher was not as the centered-point in the classroom, the lesson materials were more practical given and learned in the online media features class than in the traditional class. The teaching method in translation improved significantly in the online media features class because all were enhanced with interactive web technology. In addition, in the online media features class the students and teacher engaged in active learning and did problem solving together.
A geospatial machine learning prediction of arsenic distribution in the groundwater of Murshidabad district, West Bengal, India: spatio-temporal pattern and human health risk

Arsenic (As) contamination of groundwater in parts of South and Southeast Asia is a public health disaster. Millions of people living in these regions could be chronically exposed to drinking water with As concentrations above the World Health Organizations provisional guideline of 10 g/L. Recent field investigations have shown that the distribution of groundwater As in many shallow aquifers in India and Bangladesh is evolving rapidly due to massive irrigation pumping. This study compares a decade-old dataset of As concentration measurements in groundwater with a dataset of recent measurements using geospatial machine learning techniques. We observed that the probability of As concentrations >10 g/L was much greater in the regions between two major rivers than in the regions close to the Ganges River on the eastern border of the study area, where As concentrations >10 g/L had been measured prior to 2005. The greater likelihood that As is present away from the river channel and is found instead in the interfluvial regions could be attributed to the transport and flushing of aquifer As due to intense groundwater pumping for agriculture. We estimated that about 2.8 million people could be chronically exposed to As concentrations >10 g/L. This high population-level exposure to elevated As concentrations could be reduced through targeted well-testing campaigns, promoting well-switching, provisions for safe water access, and developing plans for raising public awareness. Policymakers could use the ternary hazard map to target high-risk localities for priority house connections of piped water supply schemes to help reduce human suffering.
Improving communications in PPE: a solution for ‘landline’ telephone communication

Background Emergency care staff wearing elastomeric respiratory personal protective equipment (PPE) report difficulties in communicating by telephone. We developed and tested an affordable technological solution aimed at improving telephone call intelligibility for staff wearing PPE. Methods A novel headset was created to enable a throat microphone and bone conduction headset to be used in combination with a standard hospital ‘emergency alert’ telephone system. Speech intelligibility of an ED staff member wearing PPE was compared between the proposed headset and current practice by simultaneously recording a version of the Modified Rhyme Test and a Key Sentences Test. Recordings were played back to a group of blinded ED staff listening to pairs of recordings under identical conditions. The proportion of correctly identified words was compared using a paired t-test. Results Fifteen ED staff correctly identified a mean of 73% (SD 9%) words for speech communicated via the throat microphone system, compared with only 43% (SD 11%) of words for standard practice (paired t-test, p<0.001). Conclusions Introduction of a suitable headset could significantly improve speech intelligibility during ‘emergency alert’ telephone calls.
Machine Learning for Identifying Data-Driven Subphenotypes of Incident Post-Acute SARS-CoV-2 Infection Conditions with Large Scale Electronic Health Records: Findings from the RECOVER Initiative

The post-acute sequelae of SARS-CoV-2 infection (PASC) refers to a broad spectrum of symptoms and signs that are persistent, exacerbated, or newly incident in the post-acute SARS-CoV-2 infection period of COVID-19 patients. Most studies have examined these conditions individually without providing concluding evidence on co-occurring conditions. To answer this question, this study leveraged electronic health records (EHRs) from two large clinical research networks from the national Patient-Centered Clinical Research Network (PCORnet) and investigated patients' newly incident diagnoses that appeared within 30 to 180 days after a documented SARS-CoV-2 infection. Through machine learning, we identified four reproducible subphenotypes of PASC dominated by blood and circulatory system, respiratory, musculoskeletal and nervous system, and digestive system problems, respectively. We also demonstrated that these subphenotypes were associated with distinct patterns of patient demographics, underlying conditions present prior to SARS-CoV-2 infection, acute infection phase severity, and use of new medications in the post-acute period. Our study provides novel insights into the heterogeneity of PASC and can inform stratified decision-making in the treatment of COVID-19 patients with PASC conditions.
Climate Change, Firm Performance & Investor Surprises

Despite the projected global warming and increased pressure on ﬁrms to disclose their exposure to climate-related risk, it is unclear if ﬁrm performance is negatively aﬀected by extremely high temperatures, and if investors anticipate the ﬁnancial impact of heat exposure on returns. In this study, I link ﬁrm performance records, analyst forecasts, and earnings announcement returns of an international sample of 4,400 local listed ﬁrms from 1995 to 2017 to temporally and spatially high-resoluted, ﬁrm-speciﬁc measures of heat exposure. Estimating the ﬁnancial impact of randomly distributed variation in the number of days on which ﬁrms were exposed to extremely high temperatures, I ﬁnd that increasing exposure reduces revenues and operating income. Moreover, the deviation of analyst estimates from actual ﬁnancial performance as well as the abnormal returns around earnings announcements become more negative when heat exposure at the ﬁrms’ locations increases. These ﬁndings suggest that investors do not anticipate the economic implications of heat as a ﬁrst-order physical climate risk.
Green Assessment Tools: The Integration of Building Envelope Durability

There has been a recent trend in the North American building market towards green buildings. This trend has resulted in the development and increased popularity of several green building assessment tools, including LEED™, Green Globes™, Built Green™, and GBTool. The tools attempt to measure the “greenness” of a project, typically by awarding points or credits for achieving certain prescriptive or performance based requirements. However, to allow adaptability and flexibility within the tools, there are a great number of variables, ranging from natural light infiltration, location of material manufacturing, to the site selection. In most projects, the selection of credits or points is predetermined by the building use, given site, geographic area, project cost restrictions and determined rating level. For this reason, assessment tools have come under a considerable amount of criticism. Ultimately, the tools attempted to provide a means in which to compare fundamentally different building traits, and in the end provide a numerical value to compare with other green buildings. The majority of green building assessment systems focus on the design to the constructed building, with little focus on the effect of the building system’s life during operation. This tendency has resulted in a failure of many rating systems to properly consider durability, lifecycle cost, and the effects of premature building envelope failures. This paper will discuss green building assessment tools, their prime focus areas, the importance of designing for durability, and a proposed basis for evaluating durability. It also includes a review of four Canadian green assessment tools, the degree to which these systems include durability of the building envelope, and suggestions for future improvements.
TECHNICAL BRIEFING NOTE 6: CHILD POVERTY AND CHILDREN IN MONETARY POOR HOUSEHOLDS

The measurement of child poverty is centered on the individual child and the material deprivations suffered by each child. These material deprivations prevent the realization of the rights constitutive of poverty. These material deprivations can and are measured directly for every child based on data from household surveys. However, it is also important to consider whether children live in households with income or consumption below the poverty line. Whenever information is available, both child poverty and the percentage of children in monetary poor households should be estimated. If possible, both measures should be combined.
The Design Manager's Handbook: Eynon/The Design Manager's Handbook

Purpose: To review the state -of-the-art of Lean Project Delivery (LPD), to show the relationship between LPD and integrated design and delivery (particularly the IDDS element ‘collaborative processes ’) and to propose further stages of development, research and practice. Method: Description and analysis of action research & learning in current practice. Findings: In the context of Lean Project Delivery with Target Value Design (TVD) projects are completed below market cost —so far as much as 19% below and expected cost falls as design and construction progresses. Limitations: this work is based on a limited number of linked cases in the US over the last 10 years. We suggest the ideas are applicable far more widely. Implications: there is still more development and research required to develop effective leadership models for integrated design and delivery, create whole of life Target Value Design, to create signifi cant bodies of evidence to guide the design of many building types and to further develop the Lean Project Delivery System. Value for practitioners: initial indications are that the methods described work together to deliver signifi cant benefi ts for owners/clients/end -users and create a more satisfying experience for most designers and constructors.
Cross-LinkingDepolymerization After Membrane IgM Phosphatase Is Essential for Actin Homology 1-Containing Protein Tyrosine Actin Tyrosine Dephosphorylation by the Src

Src homology protein 1 (SHP-1) plays an important role in B cell Ag receptor (BCR) differentiation, proliferation, survival, and apoptosis. After BCR stimulation in apoptotic cells, SHP-1 has been shown to be recruited to phosphorylated immunoreceptor tyrosine-based inhibitory motifs present in receptors such as CD22 and CD72. However, the substrates of SHP-1 in the chicken B cell line, DT40, have remained undeﬁned. To identify SHP-1 substrates in DT40, we used a trapping mutant, SHP-1 C/S (a catalytically inactive form). Cross-linking of BCR induced hyperphosphorylation of (cid:1) 44-kDa protein in C/S transfectants. Matrix-assisted laser desorption/ionization time-of-ﬂight mass spectrometry analysis revealed that this was actin (cytoplasmic type 5) carrying three immunoreceptor tyrosine-based inhibitory motif-like sequences. SHP-1 was shown to bind to one of these sequences in synthetic peptide binding experiment. Thus, actin is a direct SHP-1 substrate. Furthermore, more SHP-1 molecules translocate into lipid rafts, and their association with actin was increased after BCR stimulation. In C/S transfectants, actin polymerization induced by membrane IgM ligation was sustained to a greater extent for a longer time compared with wild-type transfectants. Therefore, actin dephosphorylation by SHP-1 is essential for actin depolymerization after BCR stimulation. Our data suggest that SHP-1 plays a pivotal role in reorganization of cytoskeletal architecture inducing actin dephosphorylation. These results clearly demonstrate the direct interaction of SHP-1 with actin. The
Wideband CDMA system for personal communications

In this paper, a wideband-spreading CDMA (W-CDMA) is proposed to transmit high quality speech and high speed data including Group 3 facsimile and 64 kbps unrestricted data. The maximum capacity is 64 channel per microcell without sectorization and voice activity detection. The proposed scheme is to be the standard of the radio air interface in 1.85 to 1.99 GHz personal communication services.
This paper is included in the Proceedings of the 31st USENIX Security Symposium. OpenVPN is Open to VPN Fingerprinting

VPN adoption has seen steady growth over the past decade due to increased public awareness of privacy and surveillance threats. In response, certain governments are attempting to restrict VPN access by identifying connections using “dual use” DPI technology. To investigate the potential for VPN blocking, we develop mechanisms for accurately ﬁngerprinting connections using OpenVPN, the most popular protocol for commercial VPN services. We identify three ﬁngerprints based on protocol features such as byte pattern, packet size, and server response. Playing the role of an attacker who controls the network, we design a two-phase framework that performs passive ﬁngerprinting and active probing in sequence. We evaluate our framework in partnership with a million-user ISP and ﬁnd that we identify over 85% of OpenVPN ﬂows with only negligible false positives, suggesting that OpenVPN-based services can be effectively blocked with little collateral damage. Although some commercial VPNs implement countermeasures to avoid detection, our framework successfully identiﬁed connections to 34 out of 41 “obfuscated” VPN conﬁgurations. We discuss the implications of the VPN ﬁngerprintability for different threat models and propose short-term defenses. In the longer term, we urge commercial VPN providers to be more transparent about their obfuscation approaches and to adopt more principled detection countermeasures, such as those developed in censorship circumvention research.
A NOTE ON NUMERICAL APPROACHES FOR HEAT-DIFFUSION EQUATION WITH HETEROGENEOUS MEDIA AND ITS APPLICATIONS

In this paper, we introduce a numerical approach to solve heat-diﬀusion equation with discontinuous diﬀusion coeﬃcients in the three dimensional rectangular domain. First, we study the support operator method and suggest a new method, the continuous velocity method. Fur- ther, we apply both methods to a diﬀusion process for neurotransmitter release in an individual synapse and compare their results.
Learning Mathematics Online Using Information Technology Tools during COVID-19 in Kosove

The COVID-19 pandemic has brought significant challenges to higher education worldwide. Due to the COVID-19 pandemic, e-learning has begun to be widely used and applied in the teaching and learning processes. However, learning under technological circumstances has proven not always to be a proper so-lution in education. A highlight challenge, in this regard, is considered to be learning Mathematics online. While some support its positive impact, others greatly oppose it by arguing that neither teaching nor learning has proven successful. Thus, this study examines Kosovo selected universities to see the effectiveness of learning Mathematics online as a case study. Further, it compares the online and traditional learning methods and explores how teachers in higher education in Kosova Universities apply and integrate technology into learning mathematics. This study employed a methodology encompassing questionnaires for students. The results show that students are not over-all satisfied with learning Mathematics online leading to the conclusion that online learning is not an effective educational method for learning Mathe-matics.
Self-Insurance and Welfare in Turbulent Labor Markets ∗

We investigate the welfare consequences of turbulence risk—the risk of skill loss coin-ciding with involuntary layoﬀs—on the labour market outcomes in the presence of imperfect ﬁnancial markets and search frictions. We build a tractable dynamic heterogeneous agents model with directed search, imperfect ﬁnancial markets, and uninsurable persistent labor market risk. We calibrate our model to the US economy, matching new empirical facts on the joint impact of turbulence risk and wealth on re-employment wages and unemployment duration. We measure the welfare loss of unemployment transitions and quantify the impact of each channel. We ﬁnd the fall in wealth upon re-employment has the highest impact on welfare changes among the other channels. Finally, we examine the welfare gain from alternative policies. We Griﬀy, Jolivet, Francis Kramarz, Etienne Lal`e, Claudio Michelacci, Trapeznikova, and seminar audiences for insightful discussions and comments. Research support is gratefully acknowledged from the British Fellowship Grant The research leading to these results has 01: Reallocation, Occupational Mismatch, and Business Baley Bristol part of this project was completed.
Does the exercise order affect body composition in ten weeks of concurrent training?

This study aimed to observe if the order of the predominantly aerobic exercise, concerning the predominantly anaerobic exercises, in the concurrent training affects the body composition. Nine young males and nine young females were equitably dived into three groups that performed for ten weeks a concurrent training, differing between them in the order of the predominantly aerobic exercise in relation to the predominantly anaerobic exercises, with the objective to change the body composition: i) before; ii) after; and iii) interleaved. The measurements of the body composition were performed before (T0) and after ten weeks (T1) of concurrent training, a protocol using the dual-energy x-ray absorptiometry (DXA). It was observed a significant (p<0.05) reduction in the percentage of total body fat in all groups (25.75±9.34 to 25.08±9.38, 26.08±8.17 to 25.51±7.54, 28.20±4.29 to 26.45±5.56, T0 and T1, before, after and, interleaved, respectively). The total fat-free mass it was significantly increased in the after order group (50.74±11.82 kg to 51.01±11.85 kg, T0, and T1, respectively) and the upper limbs fat-free mass also significantly increased only in the before order group (6.66±2.64kg to 7.15±2.95kg, T0, and T1, respectively). No statistical differences were observed in any study variables between groups. Based on the data of the present study, the order of the predominantly aerobic exercise concerning the predominantly anaerobic exercises in the concurrent training did not influence the alterations in the body composition.