jimnoneill/paper-to-field-training huggingface dataset:
Research on Similarity Fusion in Knowledge Fusion of Learning Object Repository based on Fuzzy Set Theory

Field: Computer Science (Physical Sciences)

The construction of learning object repository is the key infrastructure of learning object organization under the E-learning environment. At present, the learning object repository is redundant construction, scattered and confused, lack the creation of tacit knowledge into explicit knowledge, is not conducive to knowledge sharing. In view of the above problems, this paper proposed a learning object repository fusion method, designed and constructed learning object knowledge units and fusion rule base, and applied fuzzy set theory to knowledge unit similarity fusion. Finally, we verified the effectiveness and feasibility of the method through the experiments, and get the more reliable results than single knowledge source detection, reduced the uncertainty of the fusion results. It has a certain reference value for improving the quality of learning object repository and collaborative work among repositories.
FishBargain: An LLM-Empowered Bargaining Agent for Online Fleamarket Platform Sellers

Field: Computer Science (Physical Sciences)

Different from traditional Business-to-Consumer e-commerce platforms~(e.g., Amazon), online fleamarket platforms~(e.g., Craigslist) mainly focus on individual sellers who are lack of time investment and business proficiency. Individual sellers often struggle with the bargaining process and thus the deal is unaccomplished. Recent advancements in Large Language Models(LLMs) demonstrate huge potential in various dialogue tasks, but those tasks are mainly in the form of passively following user's instruction. Bargaining, as a form of proactive dialogue task, represents a distinct art of dialogue considering the dynamism of environment and uncertainty of adversary strategies. In this paper, we propose an LLM-empowered bargaining agent designed for online fleamarket platform sellers, named as FishBargain. Specifically, FishBargain understands the chat context and product information, chooses both action and language skill considering possible adversary actions and generates utterances. FishBargain has been tested by thousands of individual sellers on one of the largest online fleamarket platforms~(Xianyu) in China. Both qualitative and quantitative experiments demonstrate that FishBargain can effectively help sellers make more deals.
S1910 A Rare Metastatic Lesion in the Pancreas Presenting With Biliary Obstruction

Field: Medicine (Health Sciences)

Introduction: Pancreatic malignancies can originate from either endocrine or non-endocrine cells of the pancreas. Ductal carcinoma is the most common type of non-endocrine tumor, of which adenocarcinomas constitute the most common pancreatic malignancy. Squamous cell carcinoma (SCC) is the other ductal tumor that is very rare as the pancreas is generally devoid of squamous cells. Primary SCC of the pancreas is thought to arise from the squamous metaplasia of the ductules secondary to chronic inflammatory conditions, however, metastasis remains the most common etiology. We present a patient with history of recurrent poorly differentiated SCC of the cervix complicated by pancreatic head metastasis and biliary obstruction. Case Description/Methods: A 46-year-old female diagnosed with poorly differentiated SCC of the cervix stage IIB, status post multiple rounds of chemotherapy over a period of 4 years, was started on a new medication – Tisotumab. Four months following the initiation of this medication, patient experienced abdominal pain and was noted to have a lipase level of 1160 U/L. She was diagnosed with acute pancreatitis and treated accordingly. Subsequent labs showed continued up trending of her liver chemistry, withalkaline phosphatase of 520 U/L and total bilirubin of 9.7 mg/dl. A CT abdomen performed revealed dilation of both common bile duct (CBD) and pancreatic duct (PD) with subtle hypodense area in the head of pancreas. Endoscopic ultrasound (EUS) was performed which revealed a 3 cm x 2 cm ill-defined hypoechoic and heterogenous mass in the pancreas head (Figure). Fine needle biopsy of the lesion revealed SCC, most likely metastatic from the cervix. ERCP was performed and a 10mm x 8cm fully covered metal CBD stent was placed with normalization of liver enzymes. Palliative immunotherapy with Keytruda is currently being pursued. Discussion: Metastasis to the pancreas is an uncommon clinical condition and accounts for 0.5-5% of all pancreatic malignancies. Because of the rarity, primary sources should always be excluded. Only a handful of reports of uterine and cervical cancer metastasis to pancreas have been reported, most of them being adenocarcinoma. We report a very rare case of SCC cervix metastasizing to the pancreas. Unfortunately, curative surgery is not an option with metastatic disease, and chemoradiation can be used palliatively. The median survival is generally poor with median rates of 4.8% and 1% at 1-yr and 5-yrs, respectively.Figure 1.: A - EUS image showing dilated CBD measuring up to x mm. B – EUS image demonstrating a 3 x 2 cm hypoechoic pancreatic head mass. C– H&E stain showing neoplastic clusters (black arrows) of metastatic SCC.
Genetic variation in caspase genes and risk of non-Hodgkin lymphoma: a pooled analysis of 3 population-based case-control studies

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

Abstract Caspases play a critical role in regulation of apoptosis, cell differentiation, inflammation, and innate immunity, and several are mutated or have altered expression in non-Hodgkin lymphoma (NHL). To study the impact of genetic variation in caspases on NHL risk, we analyzed tag single nucleotide polymorphisms (SNPs) in 12 caspase and related genes in 3 population-based case-control studies (1946 cases and 1808 controls). Gene-based analysis, adjusting for the number of tagSNPs genotyped in each gene, showed significant associations for CASP8, CASP9, and CASP1. SNP-based analysis showed that CASP8 rs6736233 (odds ratio (OR) CG = 1.21; ORCC = 2.13; P trend = .011); CASP9 rs4661636 (ORCT = 0.89; ORTT = 0.77; P trend = .011); and CASP1 rs1785882 (ORAT = 1.12; ORAA = 1.30; P trend = .0054) were significantly associated with NHL risk and consistent across studies. It is noteworthy that genetic variants in CASP8 were associated with risk of all major NHL subtypes. Our findings suggest that genetic variation in caspases may play an important role in lymphomagenesis.
The Characteristics of Shoulder Muscles in Archery Athletes

Field: Medicine (Health Sciences)

BACKGROUND: This study evaluated the shoulder girdle muscle characteristics of elite archery athletes and provides suggestions for archery training programs.METHODS: This study enrolled 15 cases of high level archery athletes (7 males, 8 females) and 30 cases of (15 males, 15 females) sex, age-matched, healthy, non-athletic individuals. We measured peak torques of flexion (FL), extension (EX), abduction (ABD), adduction (ADD), external rotation (ER) and internal rotation (IR) of both shoulders at an angular velocity of 30°/sec, 60°/sec, and 180°/sec. The peak torques and peak torque ratios of FL/EX, ABD/ADD, and ER/IR of the two groups were compared.RESULTS: The archer group had a greater peak torque of IR and ADD, but only in the left shoulder (p < 0.05). In the same group, both shoulders had greater peak torque of EX and lower peak torque of FL. The peak torque ratios of FL/EX of both shoulders were significantly lower in the archer group at all three angular velocities (p < 0.05). The peak torque ratios of ABD/ADD were significantly greater in only the left shoulder of the archer group (p < 0.05).CONCLUSIONS: The prominent characteristics of the shoulder girdle muscles of an elite archer are stronger adductor muscles of the bow shoulder and stronger extensors of both shoulders, as compared to healthy, non-athletic individuals. These muscle groups of the shoulder probably contribute a major role in maintaining the accuracy and stability during archery shooting. Hence, a training program that selectively enhances the adductor and extensor muscles could prove helpful in enhancing the archery skills of the athlete.
Being Alongside: Rethinking Relations amongst Different Kinds

Field: Arts and Humanities (Social Sciences)

This paper broadens out existing challenges to the divisions between the human and the animal that keep humans distinct, and apart, from other animals. Much attention to date has focused on how the Euro-American individuation of the human subject intensifies the asymmetries inculcated by these divisions. This paper rehearses some of this literature but goes on to attend to how these divisions undercut understandings of sociality and limit social organization to interaction between persons. Drawing together debates around the human/animal relation, the paper juxtaposes different perspectives of nature-cultures to bring ‘worlds’ of relations into view. Specifically, I distinguish here between the state of ‘being alongside’ and the process of ‘being-with’. Ranging from approaches that try to settle ideas of difference through appeals to ‘ethical health’, through to work on identity that ‘unconceals’ a wealth of connection, this distinction will help to keep apart those situated moments of relations, where the constituent parts are left more provisional and contingent, from more sought-out relationships, where a sense of togetherness purposefully dominates the conjoining of activities. Contrasting hybridity as a totalizing form of ‘being-with’, with alongsideness, as a form of intermittent and partial connection, the analysis eschews the obfuscation of difference entrenched in contemporary emphasis on connectivity. Proposing instead the importance of creatures as ‘division preserving', the paper theorizes ways to sustain regard for division as well as connection as key to understanding the arts of dwelling amidst different kinds.
A Deep Learning stacking ensemble algorithm for Stock Market classification and risk management

Field: Computer Science (Physical Sciences)

Stock Market forecasting has been historically considered one of the most challenging issues in time series due to its inherent characteristics such as low signal-to-noise, multiple forces competing for performance and basic nonexistence of arbitrage. Artificial Neural Networks, and specifically Long Short-Term Models, are powerful tools for unveiling hidden relationships in data and have become a goto technique for applications in finance and asset management. Nonetheless, there seem to be a big gap between industry and academia, where the first have been leveraging these types of models for at least a decade, while the same can’t be said for papers on the subject which are few in number and tend to be quite more recent. When looking at the portfolio of available techniques even less research has been done on the use of ensembles for regression or classification problems in finance. Trying to bridge this gap and contribute to the field we develop a Deep Learning stacking ensemble model to classify the sign of the future SP500 Index return; we do that by leveraging a heterogeneous set of classifiers and a proprietary dataset based on trend following technical analysis indicators. When back testing our model, we find evidence of outperformance for our strategies against a naïve buy-and-hold, but we note how the stacking ensemble algorithm isn’t adding any value as is relying entirely on the prediction coming from one specific classifier. When considering the LSTM classifier though, we find both higher return and higher Sharpe Ratios for the two strategies generated with the predictions; both strategies also exhibit lower Drawdown compared to the Naïve buy-and-hold for the period we studied. While the use of ensembles doesn’t seem to have increased model quality, we acknowledge more research is needed on the topic like focusing on enhancing the dataset at hand, leveraging homogeneous rather than heterogeneous classifiers or making use of actual output probabilities.
The Impact of Self-Compassion on Adolescent Post-Traumatic Growth: The Moderating Role of Basic Psychological Needs

Field: Psychology (Social Sciences)

As a mental technique, self-compassion may also buffer in opposition to stressful stories and sell put up-stressful growth. To fill this gap, the existing take a look at tested how self-compassion affects teenagers' post-stressful growth and examined fundamental mental desires satisfaction as a moderator between self-compassion on one side and posttraumatic increase on the opposite facet. A questionnaire with the Self-Compassion Scale, Post-Traumatic Growth scale, and Basic Psychological Needs Questionnaire changed into completed by means of adolescents, whilst statistical methods have been applied to investigate facts. This examine confirmed that adolescent self-compassion had an influential positive impact on submit-demanding growth, and that assembly the needs of fundamental mental additionally accomplished as a crucial moderator between self-compassion and PTG. The findings recommend that once educators satisfy the basic mental needs of teenagers, they might be much more likely to grow following trauma, and provide instructions for intervention strategies. This research has important implications for knowledge the intellectual fitness of young people and developing mental interventions that paintings.
Temporal- Spatial Distribution of Thunderstorm over Tibet Region in Last 40 Years

Field: Earth and Planetary Sciences (Physical Sciences)

The spatial and temporal distribution of thunderstorm under the background of global climate change was investigated according to the observational thunderstorm dataset at 26 meteorological stations in Tibet region during 1971 2010,along with statistical method such as REOF( Rotated Empirical Oahogonal Function) and Wavelets analysis. The results show that the thunderstorm event has four anomalous spatial patterns in last 40 years under the global climate change,such as western pattern,northern pattern,center pattern and eastern pattern. The frequency of thunderstorm events was decreasing for all of patterns especially for central and eastern pattern. And the decreasing rate are from 0. 3 to 9. 0 times·( 10a)- 1. The frequency of thunderstorm expressed13-year and 22-year periods. The thunderstorm was serious in 1970 s and 1990 s and it is decreasing in recent years.
Total laparoscopic hysterectomy - clinical comparison of the method using two types of uterine manipulators.

Field: Medicine (Health Sciences)

TLH is the dominant method of uterine removal in our workplace. In a group of 134 women, we did not show a statistically significant difference in the monitored parameters. The HOHL manipulator has proved to be more user-friendly due to its technical parameters and better clarity of the operating field. Subjective evaluation of the method was positive in patients.
Tion beTween dimensions of personaliTy and resul Ts of Therapy in paTienTs wiTh The primary raynaud's phenomenon

Field: Medicine (Health Sciences)

summary The r aynaud’s phenomenon is a paroxysmal vasoconstriction of peripheral arterioles in hands, more rarely feet, ears, tongue or mamma. The origin and pathomechanism of the disease is not thoroughly explored, however excessive mental excitation (stress) and cold are considered to be the main causes of the primary r aynaud’s phenomenon. The objective of this research was to investigate whether there exist a correlation between the personality dimensions and the results of the therapy among the patients with the primary r aynaud‘s phenomenon. The group of 60 patients of dermatology clinic of warsaw medical university, diagnosed with primary r aynaud’s phenomenon, took part in this research. patients underwent the pharmacological therapy and the proper therapy consisting of relaxation, sessions of sauna and ir, both lasted 24 weeks. subjects’ personality was evaluated with the use of r evised neo personality inventory (neo-pi-r). investigation covered the correlation research between dimensions of the personality and following features: changes in the capillary circulation, level of anxiety, pain and sweating, efficiency of pharmacological therapy, efficiency of the proper therapy and frequency of the symptom’s recurrence. r esults of the conducted research allowed to assume that the interdisciplinary approach to health problems of patients with the primary rphenomenon is necessary.
Pengembangan Lembar Kerja Peserta Didik (LKPD) Berbasis Konstruktivis Pada Pembelajaran Tematik untuk Meningkatkan Kemampuan Berpikir Kritis Peserta Didik Kelas V di Sekolah Dasar

Field: Social Sciences (Social Sciences)

This study aims to produce student worksheets (LKPD) using a constructivist approach that is valid, practical, and effective in thematic learning in fifth-grade elementary school. The research method used is Research and Development (R and D) with a 4D model consisting of four phases, namely defining, designing plans, developing, and disseminating LKPD. Data were collected using document analysis, observation, interviews, field notes, tests, and questionnaires. The results showed that LKPD related to aspects of content, approach, format, language, and presentation were in the very valid category with an average percentage of 84.67%. The results of observations, questionnaires, and interviews showed the very practical category with a percentage of 86.43%. The critical thinking skills of students were developed and improved with a percentage of 79.37% developed effectively. Students can understand, find, analyze, collaborate, try and solve problems related to everyday life in thematic learning.
Time-Dependent Molecular Rearrangement of [Au(N9-adeninate)(PTA)] in Aqueous Solution and Aggregation-Induced Emission in a Hydrogel Matrix

Field: Chemistry (Physical Sciences)

An in-depth study of the molecular rearrangement of the complex [Au(N9-adeninate)(PTA)] (1), promoted in aqueous solution, is presented. This complex, which has been previously described as forming dimers in its crystalline form, is also demonstrated as being able to assemble into an infinite AuI···AuI chain polymer. The structural motifs are tentatively related to the dramatic modification of the photoemissive properties of 1 in water solution at long times, with the aid of UV-vis and photoluminescence measurements, PGSE-NMR, and theoretical calculations. A subtle equilibrium in favor of aurophilically governed aggregates has been envisaged as the driving force of the molecular rearrangement. Furthermore, 1 has been explored as an additive of the hydrogel of [Au(N9-adeninate)(PMe3)] (2) for a further tuning of its photophysical properties without loss of the gel texture.
A revision of Palaearctic Lobrathium. VI. Two new species from Armenia and Taiwan, and additional records (Coleoptera: Staphylinidae: Paederinae)

Field: Agricultural and Biological Sciences (Life Sciences)

Assing, Volker (2017): A revision of Palaearctic Lobrathium. VI. Two new species from Armenia and Taiwan, and additional records (Coleoptera: Staphylinidae: Paederinae). Linzer biologische Beiträge 49 (1): 299-306, DOI: 10.5281/zenodo.5356933
Implementasi Pendidikan Moral demi Menciptakan Generasi Emas 2045

Field: Arts and Humanities (Social Sciences)

Moral education is the development or learning of character or morals in students. In this paper we describe character education innovations that have the aim of shaping the character of the golden generation of the next era. The golden generation cannot be equated with the generation of the 90s, the implementation of moral education is also almost similar to. As is known, technological advances make a big difference between the generation of the '90s and today, of course this also has an impact on the way of thinking and the way of learning in themselves. When viewed broadly about the problems that exist in Indonesia is due to a lack of self-sensitivity or morality. The problem of morals and morality is also one of the importance of moral education. In order to welcome the 2045 generation with character, moral education provides several scopes such as the scope of life coaching, morality coaching, environmental coaching and also spiritual coaching.
An Investigation of the Lift, Drag, and Pitching Moment Characteristics of AGARD Calibration Model B in N.A.L. 1m×1m Supersonic Blowdown Wind Tunnel.

Field: Engineering (Physical Sciences)

An investigation of the lift, drag, and pitching moment characteristics of AGARD Calibration Model B has been made in Supersonic Blowdown Wind Tunnel of the National Aerospace Laboraory. The tests covered a Mach number range of 1.5 to 3.0 and a Reynolds number range of 17×166 to 28×106. Comparison with other wind tunnel results shows a good agreement.
Stumbling into Crossfire: William Carlos Williams,Partisan Review, and the Left in the 1930s

Field: Arts and Humanities (Social Sciences)

Though actively involved in leftist causes and committees throughout the 1930s, William Carlos Williams had an almost uncanny knack for getting between warring factions and alienating power centers of the Left, particularly Partisan Review. This paper examines three such incidents: two in which PR intentionally humiliated the poet in 1936–37, and one in which Williams joined, signed petitions, then resigned from several leftist splinter groups battling each other in 1939. Among the reasons considered for these mishaps are: Williams’s political naïveté about factionalism and editorial good faith; his skepticism regarding communism; his desire to be published in the leading leftist magazines; and the byzantine political alignments of the late 1930s. Ironically, Williams’s own poetry and fiction in the 1930s show a genuine empathy (without cant or cliché) for the working class — a quality that was more talked about than achieved in leftist circles.
An optimized neural network-based IDS against DDoS attacks

Field: Computer Science (Physical Sciences)

As cyberattacks become increasingly sophisticated, the identification of harmful assaults like Distributed Denial of Service (DDoS) poses a significant challenge. DDoS attacks have emerged as a critical threat to the safety of information systems and the dependability of computer networks, which serve as vital infrastructures in the contemporary world. Detecting DDoS attacks necessitates a complex undertaking that demands immediate attention to avert substantial damage to networks and services. To tackle this challenge, security researchers propose leveraging the strengths of the Intrusion Detection Systems (IDSs) and Neural Network (NN) models to safeguard networks against these threats. However, developing an efficient Neural network-based IDS is not a straightforward task due to the intricate architecture of NN models and the large number of hyper-parameters that need to be tuned. In this context, this paper presents a Neural Network -based IDS for DDoS attacks, employing Convolutional Neural Network (CNN) and Multilayer Perceptron (MLP) models optimized using the Bayesian optimization (BO) technique. Experimental results on the CIC-DDoS2019 dataset demonstrate that the CNN achieves an accuracy of 99.71% with a loss value of 0.002. These findings underscore the efficacy of the suggested Intrusion Detection System (IDS) in identifying DDoS attacks within network environments.