Miracle-dz/UniFAR-FTUs huggingface dataset:
Critical success factors for DevOps adoption in information Critical success factors for DevOps adoption in information systems development systems development

: Adopting DevOps is challenging since it makes a significant paradigm shift in the Information Systems Development process. DevOps is a trending approach attached to the Agile Software Development Methodology, which facilitates adaptation to the customers' rapidly-changing requirements. It keeps one front step by introducing software operators who support the transmission between software and implementation into the software development team by confirming faster development, quality assurance, and easy maintenance of Information Systems (IS). However, software development companies reported challenges in adopting DevOps. It is critical to control those challenges while getting hold of the benefits by studying Critical Success Factors (CSF) for adopting DevOps. This study aimed to analyze the use of DevOps approach in IS developments by exploring CSFs of DevOps. A systematic literature review was applied to identify CSFs. These factors were confirmed by interviewing DevOps practitioners while identifying more frequent CSFs in the software development industry. Finally, the research presents a conceptual model for CSFs of DevOps, which is a guide to reap the DevOps benefits while reducing the hurdles for enhancing the success of IS. The conceptual model presents CSFs of DevOps by grouping them into four areas: collaborative culture, DevOps practices, proficient DevOps team, and metrics
Seasonal and diurnal variability of sub-ice platelet layer thickness in McMurdo Sound from electromagnetic induction sounding

Here, we present observations of temporal variability of sub-ice platelet layer over seasonal and diurnal timescales under Ice Shelf Water-influenced fast ice in McMurdo Sound. Electromagnetic induction (EM) sounding time-series measurements of the thicknesses of fast ice and sub-ice platelet layer were made in winter and late spring of 2018. Winter objectives were to measure the seasonal growth of fast ice and sub-ice platelet layer near the McMurdo Ice Shelf in the east, while in late spring we assessed the diurnal variability of sub-ice platelet layer with coincident EM time-series and oceanographic 20 measurements collected in the main outflow path of supercooled Ice Shelf Water in the west. During winter, we observed when the sub-ice platelet layer formed beneath consolidated ice. Episodes of rapid sub-ice platelet layer growth (~0.5-1 m) coincided with strong southerly-wind-events and polynya activity, suggesting wind-enhanced Ice Shelf Water circulation from the McMurdo-Ross Ice Shelf cavity. In late spring, we investigated how the tides and ocean properties influenced the sub-ice platelet layer. Over a two-week neap-spring tidal cycle, changes in sub-ice platelet layer thickness were observed to correlate with the 25 tides, increasing more during neap than spring tide cycles, and on diurnal timescales, more on ebb than flood tides. Neap and ebb tides correspond with stronger northward circulation out of the cavity, indicating that sub-ice platelet layer growth was driven by tidally-enhanced Ice Shelf Water outflow. The observed variability indicated that wind-driven circulation and the tides influence Ice Shelf Water outflow in McMurdo Sound, and consequently, sub-ice platelet layer evolution over a range of timescales.
PROGNOSTIC RELEVANCE AND PREDICTIVE POWER OF INTRA-ABDOMINAL HYPERTENSION AND SERUM PROCALCITONIN LEVELS IN CRITICALLY ILL SURGICAL PATIENT

Objective: The objective of the study is to determine the clinical value of procalcitonin (PCT) levels and in recognizing surgical complications, morbidity and mortality in a heterogeneous group of general surgical patient population admitted in casualty ward and intensive care unit (ICU). Methods: A prospective, observational study was conducted on 100 patients by purposive sampling for blood and ascites in the peritoneal cavity, bowel distension and edema, high-volume resuscitation and massive transfusion, damage control surgery in traumatic patients, excessive tension after abdominal closure, post-operative ileus, circumferential abdominal eschar in burn patients, and hemodilution with severe sepsis were enrolled within 24 h of admission to the ICU or casualty ward in the Department of General Surgery, J.L. N. Medical College and Hospital, Ajmer, from August 2021 to December 2022. Results: The mean age of the overall patient population for the study is 52.29 years and it ranges between 16 years and 84 years. 79% of the patients presented with intra-abdominal hypertension (IAH), and mean serum PCT level in the IAH group is 4.47±7.49 which is higher than that in the non-IAH group (p<0.05). The mean serum PCT levels among the group having peritonitis as the cause of sepsis is 5.69 ng/mL and having pneumonitis as the cause of sepsis is 6.74 ng/mL (p=0.033). Conclusion: Serum PCT, a new serum biomarker for infection and inflammation, that has been found to be more sensitive and specific for the same, is also an indicator for patient mortality and morbidity, and also correlates with patient’s length of hospital stay can be said to have an important role in prediction of critically ill surgical patient’s outcome.
ScholarWorks ScholarWorks

—Exposing opportunities for parallelization while explicitly managing data locality is the primary challenge to porting and optimizing existing computational science simulation codes to improve performance and accuracy. OpenMP provides many mechanisms for expressing parallelism, but it primarily remains the programmer’s responsibility to group computations to improve data locality. The loopchain abstraction, where data access patterns are included with the speciﬁcation of parallel loops, provides compilers with sufﬁcient information to automate the parallelism versus data locality tradeoff. In this paper, we present a loop chain pragma and an extension to the omp for to enable the speciﬁcation of loop chains and high-level speciﬁcations of schedules on loop chains. We show example usage of the extensions, describe their implementation, and show preliminary performance results for some simple examples.
HPIDHC at NTCIR-17 MedNLP-SC: Data Augmentation and Ensemble Learning for Multilingual Adverse Drug Event Detection

The Social Media Adverse Drug Event Detection (SM-ADE) track of the NTCIR-17 MedNLP-SC shared task aims to identify adverse drug events (ADE) in Japanese, English, French, and German social media texts. In this paper, we describe selected details of our contribution addressing the shared task. As a base model, we fine-tune RoBERTa models for the different language subtasks. In addition, we apply ensemble learning and data augmentation techniques. By leveraging data augmentation, we successfully elevate the resulting micro-averaged 𝐹 1 scores on the German dataset by 5 𝑝𝑝 compared to the baseline. The application of ensemble learning yields a remarkable improvement of 7 𝑝𝑝 . Through combining RoBERTa with these methods, we achieve promising results in the challenge. Our best runs accomplish exact accuracy scores between 0 . 84 and 0 . 87 and per-class 𝐹 1 scores between 0 . 77 and 0 . 82, consistently achieving the second-best results across all languages.
Exact Policy Recovery in Ofﬂine RL with Both Heavy-Tailed Rewards and Data Corruption

We study ofﬂine reinforcement learning (RL) with heavy-tailed reward distribution and data corruption: (i) Moving beyond subGaussian reward distribution, we require only a bounded (1+ γ ) -th moment for γ ∈ (0 , 1] ; (ii) We allow cor-ruptions where an attacker can arbitrarily modify (cid:15) -fraction of the rewards and transitions in the dataset. We ﬁrst derive a sufﬁcient optimality condition for generalized Pessimistic Value Iteration (PEVI), which allows various estimators with proper conﬁdence bounds and can be applied to multiple learning settings. In order to handle the data corruption and heavy-tailed reward setting, we prove that the trimmed-mean estimation achieves a minimax optimal error rate O (cid:0) σ(cid:15) γ 1+ γ (cid:1) for robust mean estimation under heavy-tailed distributions. In the PEVI algorithm, we plug in the trimmed mean estimation and the conﬁdence bound to solve the robust ofﬂine RL problem. Standard analysis reveals that data corruption induces a bias term O (cid:0) Hσ(cid:15) γ 1+ γ + (cid:15)H (cid:1) in the suboptimality gap, which gives the false impression that any data corruption prevents optimal policy learning. By using the optimality condition for the generalized PEVI, we show that as long as the bias term is less than the “action gap”, the policy returned by PEVI achieves the optimal value given sufﬁcient data.
PcapWT: An Eﬀicient Packet Extraction Tool for Large Volume Network Traces

Network packet tracing has been used for many di(cid:27)erent purposes during the last few decades, such as network software debugging, networking performance analysis, forensic investigation, and so on. Meanwhile, the size of packet traces becomes larger, as the speed of network rapidly increases. Thus, to handle huge amounts of traces, we need not only more hardware resources, but also e(cid:30)cient software tools. However, traditional tools are ine(cid:30)cient at dealing with such big packet traces. In this paper, we propose pcapWT, an e(cid:30)cient packet extraction tool for large traces. PcapWT provides fast packet lookup by indexing an original trace using a Wavelet Tree structure. In addition, pcapWT supports multi-threading for avoiding synchronous I/O and blocking system calls used for (cid:28)le processing, and is particularly e(cid:30)cient on machines with SSD. PcapWT shows remarkable performance enhancements in comparison with traditional tools such as tcpdump and most recent tools such as pcapIndex in terms of index data size and packet extraction time. Our benchmark using large and complex traces shows that pcapWT reduces the index data size down below 1% of the volume of the original traces. Moreover, packet extraction performance is 20% better than with pcapIn-dex. Furthermore, when a small amount of packets are retrieved, pcapWT is hundreds of times faster than tcpdump.
Cytotoxic Constituents of Mallotus Microcarpus

A new 3-methoxybenzensulfonic acid 4-O-β-D-glucopyranoside (1), and ten known compounds (2–11) were isolated from the methanolic extract of the stems of Mallotus microcarpus. The cytotoxicity of the isolated compounds was evaluated by the MTT method. 3-Methoxybenzensulfonic acid 4-O-β-D-glucopyranoside (1) and methyl salicylate 2-rutinoside (5) showed strong cytotoxicity against EGFR-TKI-resistant human lung cancer A549 cells in comparison with camptothecin. Compound 1, leonuriside A (2), 3,4'-dihydroxypropiophenone 3-O-glucoside (6) and (1R,2S)-hovetrichoside A (10) inhibited the growth of human breast cancer MCF-7 cell line with IC50 values in the range of 0.48–1.78 μM. This is the first report on the chemical composition and cytotoxic activity of M. microcarpus.
3D Harmonic Loss: Towards Task-Consistent and Time-Friendly 3D Object Detection on Edge for V2X Orchestration

The use of edge computing for 3D perception has garnered interest in intelligent transportation systems (ITS) due to its potential to enhance Vehicle-to-Everything (V2X) orchestration through real-time traffic monitoring. The ability to accurately measure depth information in the environment using LiDAR has led to a growing emphasis on 3D detection based on this technology, which has significantly advanced the field of 3D perception. However, the computationally-intensive nature of these operations has made it challenging to meet the real-time deployment requirements using existing methods. The object detection task in the pointcloud domain is hindered by a substantial inconsistency problem caused by its high sparsity, which remains unaddressed. This article conducts an in-depth analysis of the issue, which has been brought to light by recent research on detecting inconsistency problems in image specialization. To address this problem, we propose a solution in the form of a 3D harmonic loss function, which aims to alleviate the inconsistent predictions based on pointcloud data. In addition, we showcase the viability of optimizing 3D harmonic loss mathematically. Our simulations employ the KITTI dataset and DAIR-V2X-I dataset, and our proposed approach significantly surpasses the performance of benchmark models. Additionally, we validate the efficiency of our proposed model through its deployment on an edge device (Jetson Xavier TX) in a simulated environment.
WBI Studies Repository WBI Studies

Simple Summary: When breeding dogs, the dam and the sire contribute equally to the genetics of each of their puppies, and so each parent should be equally important to show-ring success. The current study collated samples of dog show results to explore relationships between sex and the likelihood of success in the show ring. It focused on toy and giant breeds to explore any differences in equity, if it existed, at either end of the size spectrum. It revealed that the rate at which male and female dogs were exhibited were similar but that male dogs were a signiﬁcant advantage of winning Best of Breed titles. Abstract: Much of the research on pedigree dog breeding has been directed towards understanding the implications of reduced genetic diversity and the prevalence of inherited disorders. An example is the potential role of the popular sire effect in perpetuating genetic defects. If male dogs are more likely than bitches to be identified as examples of members of a breed that align with breed standard, they may be selected for breeding earlier. This may contribute to the influence of individual males and contribute to popular sire effect. Conversely, if
Phytochemical and Bioactivity of Propolis Extracts Produced by Stingless Bee Heterotrigona itama from Two Cultivation Locations

Propolis produced by the stingless bee is one of the non-timber forest products that currently has great potential to be developed. This research aimed to analyze the phytochemical present in propolis and to investigate the bioactivities of Heterotrigona itama propolis. Propolis samples were collected from cultivation locations in the Faculty of Forestry at Mulawarman University and cultivation locations at Mangkurawang Sub District at Kutai Kartanegara. Propolis was extracted with ethanol and methanol for a mixture of propolis and olive oil. Phytochemical analysis was carried out qualitatively and quantitatively. Antioxidant activity was performed using the radical scavenging assay against DPPH. The antimicrobial activity was determined using the agar-well diffusion method. The preliminary phytochemical analysis showed the presence of alkaloids, flavonoids, tannins, carbohydrates, and coumarins. The results showed that the highest antioxidant activity was found in propolis ethanol extract from Mangkurawang with an IC50 value of 112.53 μg/ml, followed by ethanol extract from Fahutan with an IC50 of 165.382 μg/ml. Furthermore, the ethanol extract from Mangkurawang showed antimicrobial activity against Staphylococcus epidermidis, Cutibacterium acnes, and Candida albicans. This present study displayed the potential uses of propolis as an antioxidant and antimicrobial agent.
Reconstruction coefficient analysis of honeybee collapse due to pesticide contamination

In this paper we consider the inverse problems of identifying space-dependent coefficients of the mortality rate of the bees and the rate of contamination of the forager bees by pesticides. The model is described by a weakly coupled system of two reaction-diffusion equations for the spatial distribution of uncontaminated and contaminated foraging bees. Final time t = T observations of the density of uncontaminant and contaminant forager bees are used. We propose two approaches for studying the problems. The first one uses the overspecified information to transform the problems into non-linear parabolic equations involving the solution values at the final time. This allows us to prove, using fixed-point arguments, existence of solution to the inverse problems. The second study employs the concept of the quasi-solution to establish existence of solution to the inverse problems as minimizers of least-square cost functionals.
Genetic variation of gelam (Melaleuca cajuputi subsp. cumingiana) in southern Kalimantan peat swamp population based on isozyme marker

Gelam (Melaleuca cajuputi subsp. cumingiana) is highly utilized timber by local people for house construction, poles, firewood, and other uses. Over-exploitation without sufficient regeneration leads to population reduction and a decrease in genetic variation. Information about the genetic variation of gelam is needed to conserve or improve the species. The study’s objectives were to identify the polymorphism of the enzyme system and the genetic variation of gelam in southern Kalimantan. Seeds were collected from 7 populations in southern Kalimantan. Seedlings were used and assessed by an isozyme marker. Five enzyme marker screening was conducted to determine the genetic variation, only the EST and DIA enzymes showed polymorphic and consistent patterns, POD and SHD showed polymorphic, inconsistent patterns, while GOT did not show the pattern. Genetic variation of gelam in the southern Kalimantan population was quite high (He = 0.4115, Ho = 0.2996, HT = 0.4215), it was mostly distributed within the population (97.6%) Inbreeding (FIS=0.21) or non-random mating occurred and led to a reduction in heterozygosity of the population.
Oscillating flow of rarefied viscous gas between cylinders of finite length. Numerical study

The rarefied viscous gas flow between a stationary inner and an oscillating outer cylinder is studied in this paper. It is a continuation of our previous publications where we study the flow between the infinite length cylinders while here is considered the case of finite length cylinders bounded by two planes with periodic boundary conditions in the cross sections at the ends of the cylinders. So, on the one hand, this changes the flow character creating conditions for periodic self-organization along the axis of symmetry and on the other hand, the current model is reduced to a flow in a limited volume. A continuum model based on Navier-Stokes-Fourier equations for compressible fluid with first order slip boundary conditions on the cylinders wall and statistical model Direct Simulation Monte Carlo (DSMC) method are used to model the flow. The presented numerical results were obtained after reaching sustained oscillations. Considering the model with cylinders of finite length allows to extend its capabilities and obtain a better fit to real conditions.
Two-body dynamic simulations of a combined semi-submersible floating offshore wind turbine and torus wave energy converter

Dynamic responses of a combined wind and wave energy system which consist of a 5MW semi-submersible floating offshore wind turbine (FOWT) and a torus-shaped wave energy converter (WEC) are investigated. In the investigated configuration, the torus WEC is constrained to move only in the heave direction with respect to the FOWT. This results in a two-body dynamic system that allows for the extraction of wave energy through the relative heave motion. A Modelica-based multi-body system (MBS) code is used to perform fully coupled dynamic analyses of the combined system. The wind turbine loads are calculated using the state-of-the-art Blade Element Momentum (BEM) method, while the wave power take-off (PTO) system is modelled as a linear spring and a viscous damper. A case study is presented where the mass of the torus is varied to investigate the impact on the two-body dynamics of the combined system. The system performance is assessed in terms of the maximum wave power absorption and the quality of wind power production.
First Observation of Kinetic Alfvén Waves behind Reconnection Front in Terrestrial Magnetotail

Reconnection fronts, also known as dipolarization fronts (DFs), and kinetic Alfvén waves (KAWs) are two of the widely observed structures and waves in the terrestrial magnetotail, but their correlation remains elusive in previous spacecraft measurements. Using high-resolution Magnetospheric Multiscale data, here we provide the first observational identification of KAWs behind the DF. These low-frequency dispersive KAWs propagate quasi-perpendicular to the magnetic field at phase speeds slower than local Alfvén speed, and are highly correlated with high-frequency whistlers propagating obliquely to the magnetic field. Specifically, whistlers appear at local magnetic field minima (wave troughs of KAWs) and disappear at local magnetic field maxima (wave crests of KAWs), highly consistent with the source region of whistler waves previously reported near equator and dayside magnetopause. Our study also suggests that the KAWs behind DFs could originate from the diffusion region of magnetic reconnection. These findings improve our understanding of the relationship between DFs, KAWs, and whistler waves in terrestrial magnetotail.
Stellar Half-mass Radii of 0.5 z < 2.3 Galaxies: Comparison with JWST/NIRCam Half-light Radii

We use CEERS JWST/NIRCam imaging to measure rest-frame near-IR light profiles of 435 M ⋆ > 1010 M ⊙ galaxies in the redshift range of 0.5 < z < 2.3. We compare the resulting rest-frame 1.5–2 μm half-light radii (R NIR) with stellar half-mass radii ( RM⋆ ) derived with multicolor light profiles from CANDELS Hubble Space Telescope imaging. In general agreement with previous work, we find that R NIR and RM⋆ are up to 40% smaller than the rest-frame optical half-light radius R opt. The agreement between R NIR and RM⋆ is excellent, with a negligible systematic offset (<0.03 dex) up to z = 2 for quiescent galaxies and up to z = 1.5 for star-forming galaxies. We also deproject the profiles to estimate RM⋆,3D , the radius of a sphere containing 50% of the stellar mass. We present the R−M ⋆ distribution of galaxies at 0.5 < z < 1.5, comparing R opt, RM⋆ , and RM⋆,3D . The slope is significantly flatter for RM⋆ and RM⋆,3D compared to R opt, mostly due to downward shifts in size for massive star-forming galaxies, while RM⋆ and RM⋆,3D do not show markedly different trends. Finally, we show rapid evolution of the size (R ∝ (1 + z)−1.7±0.1) of massive (M ⋆ > 1011 M ⊙) quiescent galaxies between z = 0.5 and z = 2.3, again comparing R opt, RM⋆ , and RM⋆,3D . We conclude that the main tenets of the evolution of the size narrative established over the past 20 yr, based on rest-frame optical light profile analysis, still hold in the era of JWST/NIRCam observations in the rest-frame near-IR.