Miracle-dz/UniFAR-FTUs huggingface dataset:
Behind Deep Blue: Building the Computer that Defeated the World Chess Champion

From the Publisher: On May 11, 1997, as millions worldwide watched a stunning victory unfold on television, a machine shocked the chess world by defeating the defending world champion, Garry Kasparov. Written by the man who started the adventure, Behind Deep Blue reveals the inside story of what happened behind the scenes at the two historic Deep Blue vs. Kasparov matches. This is also the story behind the quest to create the mother of all chess machines. The book unveils how a modest student project eventually produced a multimillion dollar supercomputer, from the development of the scientific ideas through technical setbacks, rivalry in the race to develop the ultimate chess machine, and wild controversies to the final triumph over the world's greatest human player. In nontechnical, conversational prose, Fenghsiung Hsu, the system architect of Deep Blue, tells us how he and a small team of fellow researchers forged ahead at IBM with a project they'd begun as students at Carnegie Mellon in the mid-1980s: the search for one of the oldest holy grails in artificial intelligence -- a machine that could beat any human chess player in a bona fide match. Back in 1949 science had conceived the foundations of modern chess computers but not until almost fifty years later -- until Deep Blue -- would the quest be realized. Hsu refutes Kasparov's controversial claim that only human intervention could have allowed Deep Blue to make its decisive, "uncomputerlike" moves. In riveting detail he describes the heighteing tension in this war of brains and nerves, the "smoldering fire" in Kasparov's eyes. Behind Deep Blue is not just another tale of man versus machine. This fascinating book tells us how man as genius was given an ultimate, unforgettable run for his mind, no, not by the genius of a computer, but of man as toolmaker.
Optimized Weight Programming for Analogue Memory-based Deep Neural Networks

Analogue memory-based Deep Neural Networks (DNNs) provide energy-efficiency and per-area throughput gains relative to state-of-the-art digital counterparts such as graphic processing units (GPUs). Recent advances focus largely on hardware-aware algorithmic training and improvements in circuits, architectures, and memory device characteristics. Optimal translation of software-trained weights into analogue hardware weights---given the plethora of complex memory non-idealities---represents an equally important goal in realizing the full potential of this technology. We report a generalized computational framework that automates the process of crafting complex weight programming strategies for analogue memory-based DNNs, in order to minimize accuracy degradations during inference, particularly over time. This framework is agnostic to DNN structure and is shown to generalize well across Long Short-Term Memory (LSTM), Convolution Neural Networks (CNNs), and Transformer networks. Being a highly-flexible numerical heuristic, our approach can accommodate arbitrary device-level complexity, and is thus broadly applicable to a variety of analogue memories and their continually evolving device characteristics. Interestingly, this computational technique is capable of optimizing inference accuracy without the need to run inference simulations or evaluate large training, validation, or test datasets. Lastly, by quantifying the limit of achievable inference accuracy given imperfections in analogue memory, weight programming optimization represents a unique and foundational tool for enabling analogue memory-based DNN accelerators to reach their full inference potential.
Deoxyribonuclease 1-like 3 Inhibits Hepatocellular Carcinoma Progression by Inducing Apoptosis and Reprogramming Glucose Metabolism

HCC has remained one of the challenging cancers to treat, owing to the paucity of drugs targeting the critical survival pathways. Considering the cancer cells are deficient in DNase activity, the increase of an autonomous apoptisis endonuclease should be a reasonable choice for cancer treatment. In this study, we investigated whether DNASE1L3, an endonuclease implicated in apoptosis, could inhibit the progress of HCC. We found DNASE1L3 was down-regulated in HCC tissues, whereas its high expression was positively associated with the favorable prognosis of patients with HCC. Besides, serum DNASE1L3 levels were lower in HCC patients than in healthy individuals. Functionally, we found that DNASE1L3 inhibited the proliferation of tumor cells by inducing G0/G1 cell cycle arrest and cell apoptosis in vitro. Additionally, DNASE1L3 overexpression suppressed tumor growth in vivo. Furthermore, we found that DNASE1L3 overexpression weakened glycolysis in HCC cells and tissues via inactivating the rate-limiting enzymes involved in PTPN2-HK2 and CEBPβ-p53-PFK1 pathways. Finally, we identified the HBx to inhibit DNASE1L3 expression by up-regulating the expression of ZNF384. Collectively, our findings demonstrated that DNASE1L3 could inhibit the HCC progression through inducing cell apoptosis and weakening glycolysis. We believe DNASE1L3 could be considered as a promising prognostic biomarker and therapeutic target for HCC.
Wounding Patterns of United States Marines and Sailors During Operation Iraqi Freedom: Major Combat Phase

Abstract : This investigation examined the wounds incurred by 279 U.S. Navy-Marine personnel (97% Marines and 3% Sailors) identified as wounded in action during Operation Iraqi Freedom from March 23 through April 30, 2003. The goal was to assess the potential impact of each causative agent by comparing the differences in anatomical locations, types of injuries caused, and the medical specialists needed to treat the casualties. The overall average number of diagnoses per patient was 2.2, and the overall average number of anatomical locations was 1.6. The mechanism of injury category was classified into 7 major categories: small arms, explosive munitions, motor vehicle accidents, falls, weaponry accidents, and other/unknown. Explosive munitions and small arms accounted for approximately 3 out of 4 combat-related injuries. Upper and lower extremities accounted for approximately 70% of all injuries, a percentage consistent for battlefield injuries since World War II.
Burden of Road Traffic Injuries in Tanzania: One-Year Prospective Study of Consecutive Patients in 13 Multilevel Health Facilities

Background Road traffic injuries (RTIs) pose a severe public health crisis in Sub-Saharan Africa (SSA) and specifically in Tanzania, where the mortality due to RTIs is nearly double the global rate. There is a paucity of RTI data in Tanzania to inform evidence-based interventions to reduce the incidence and improve care outcomes. A trauma registry was implemented at 13 health facilities of diverse administrative levels in Tanzania. In this study, we characterize the burden of RTIs seen at these health facilities. Methods This was a one-year prospective descriptive study utilizing trauma registry data from 13 multilevel health facilities in Tanzania from 1 October 2019 to 30 September 2020. We provide descriptive statistics on patient demographics; location; share of injury; nature, type, and circumstances of RTI; injury severity; disposition; and outcomes. Results Among 18,553 trauma patients seen in 13 health facilities, 7,416 (40%) had RTIs. The overall median age was 28 years (IQR 22–38 years), and 79.3% were male. Most road traffic crashes (RTC) occurred in urban settings (68.7%), involving motorcycles (68.3%). Motorcyclists (32.9%) were the most affected road users; only 37% of motorcyclists wore helmets at the time of the crash. The majority (88.2%) of patients arrived directly from the site, and 49.0% used motorized (two- or three-) wheelers to travel to the health facility. Patients were more likely to be admitted to the ward, taken to operating theatre, died at emergency unit (EU), or referred versus being discharged if they had intracranial injuries (27.8% vs. 3.7%; p < 0.0001), fracture of the lower leg (18.9% vs. 6.4%; p < 0.0001), or femur fracture (12.9% vs. 0.4%; p < 0.0001). Overall, 36.1% of patients were admitted, 10.6% transferred to other facilities, and mortality was 2%. Conclusions RTCs are the main cause of trauma in this setting, affecting mostly working-age males. These RTCs result in severe injuries requiring hospital admission or referral for almost half of the victims. Motorcyclists are the most affected group, in alignment with prior studies. These findings demonstrate the burden of RTCs as a public health concern in Tanzania and the need for targeted interventions with a focus on motorcyclists.
Global warehouse management : a methodology to determine an integrated performance measurement

The growing warehouse operation complexity has led companies to adopt a large number of indicators, making its management increasingly difficult. It may be hard for managers to evaluate the overall performance of the logistic systems, including the warehouse, because the assessment of the interdependence of indicators with distinct objectives is rather complex (e.g. the level of a cost indicator shall decrease, whereas a quality indicator level shall be maximized). This fact could lead to biases in the analysis executed by the manager in the evaluation of the global warehouse performance.In this context, this thesis develops a methodology to achieve an integrated warehouse performance measurement. It encompasses four main steps: (i) the development of an analytical model of performance indicators usually used for warehouse management; (ii) the definition of indicator relationships analytically and statistically; (iii) the aggregation of these indicators in an integrated model; (iv) the proposition of a scale to assess the evolution of the warehouse performance over time according to the integrated model results.The methodology is applied to a theoretical warehouse to demonstrate its application. The indicators used to evaluate the warehouse come from the literature and the database is generated to perform the mathematical tools. The Jacobian matrix is used to define indicator relationships analytically, and the principal component analysis to achieve indicator's aggregation statistically. The final aggregated model comprehends 33 indicators assigned in six different components, which compose the global performance indicator equation by means of component's weighted average. A scale is developed for the global performance indicator using an optimization approach to obtain its upper and lower boundaries.The usability of the integrated model is tested for two different warehouse performance situations and interesting insights about the final warehouse performance are discussed. Therefore, we conclude that the proposed methodology reaches its objective providing a decision support tool for managers so that they can be more efficient in the global warehouse performance management without neglecting important information from indicators.
Antioxidant Effects of Swimming Training and Curcumin in Withdrawal Period of Alcohol Overdose in Rats

Background & Objective: Alcohol overdose can induce increment in free radicals. The present study aimed to investigate the effect of swimming training and Curcumin in withdrawal period of alcohol overdose on superoxide dismutase (SOD), glutathione peroxidase (GPX), total antioxidant capacity (TAC), malone dealdeid (MDA) and protein carbonyl (PC) of rats. Materials & Methods: 40 rats were selected and administered alcohol every 8 hours for 4 days. Then they were subjected to the withdrawal of alcohol for six days and in seventh day divided in 5 groups of 8 rats (1) control (2) Curcumin (3) swimming training (4) Curcumin and swimming training (5) sham. Groups 3 and 4 swam 5 sessions per week for 2 weeks and groups 2 and 4 used Curcumin 5 times per week for 2 weeks peritoneally. For statistical analysis of data two-way ANOVA was used (p≤0.05). Results: Swimming training had significant effect on increase of SOD (p=0.001), GPX (p=0.001) and TAC (p=0.009) and reduction of MDA (p=0.001) and PC (p=0.001) of rats. Curcumin had significant effect on increase of SOD (p=0.001) and GPX (p=0.001) and reduction of MDA (p=0.001) and PC (p=0.001) of rats but had no significant effect on TAC (p=0.34) also Curcumin and swimming training had interactive effects on increase of SOD (p=0.001) and GPX (p=0.001) and reduction of PC (p=0.009) of rats but had no interactional effect on TAC (p=0.48) and MDA (p=0.13). Conclusion: Probably, swimming training and curcumin can be applied simultaneously in withdrawal period of alcohol overdose to increase antioxidant factors.
THE EFFECT OF AERATION ON BABY KAILAN (Brassica oleraceae var. Achepala) GROWTH IN FLOATING SYSTEM OF HYDROPONIC TECHNOLOGY INSIDE AND OUTSIDE THE GREENHOUSE

This research is aimed to find out the effects of aeration on baby kailan (Brassica oleraceae var. Achepala ) in floating systemhidroponic technology inside and outside the greenhouse. This research used a factorial in a split plot design with 2 factors, namely factor I (weation) and Factor II (aeration). The first factor had two levels, inside (N0) and outside (N1) greenhouse. The second factor consisted of 3 levels; mechanical aeration (A1), hanging styrofoam (A2) and floating styrofoam (A3); resulting in six treatment combinations with three replications. The data was analyzed using ANOVA (analysis of variance) at 5%significant level and folowed by LSD. The results showed that the inside and otsutside greenhouse significantly affected growth and yield. The use of aeration outside the greenhouse had shownmaximal production. The hanging styrofoamsystem (A2) inside the greenhouse showed the lowest production cost (fertilizer and electricity. None of the environment and nutrition parameters (EC, DO and pH) was significantly different during the research, implying that the environment and nutrion solutionwere homogeneous and did not affect the plant growth.
Performance as transformation / transformative: problematizing performance in PAR

ABSTRACT In participatory action research (PAR), university-based researchers often take foundational concepts such as transformation, empowerment, critical consciousness, and mutual understanding for granted as desirable or necessary outcomes or achievements. We discuss the danger of this and suggest that researchers recognize these as processes that participants may or may not experience, achieve, or even desire. In this manuscript, four members of a long-term research collective engage in reflexive practice to problematize notions of transformation and empowerment in PAR, with the aim of pushing ourselves to align our epistemological commitments with our practice of participatory inquiry. We focus on whether, and to what extent, high school co-researchers considered the performative components of a PAR project – such as Theatre of the Oppressed and spoken word poetry – to be transformative experiences and what, in fact, transformation means to them. As we explore our various experiences with and perspectives on performance in the context of PAR, we question and problematize its use, and call on other participatory inquirers to no longer take for granted its purpose or outcomes.
Full characterization of small volume NbN HEB mixers for Space Applications

NbN phonon cooled HEB's are one of the most promising bolometer mixer technologies for (near) future (space) applications. Their performance is usually quantified by measuring the receiver noise temperature at a given IF frequency, usually around 1 - 2 GHz. However, for any real applications it is vital that one fully knows all the relevant properties of the mixer, including LO power, stability, direct detection, gain bandwidth and noise bandwidth, not only the noise temperature at low IF frequencies. To this aim we have measured all these parameters at the optimal operating point of one single, small volume quasioptical NbN HEB mixer. We find a minimum noise temperature of 900 K at 1.46 THz. We observe a direct detection effect indicated by a change in bias current when changing from a 300 K hot load to a 77 K cold load. Due to this effect we overestimate the noise temperature by about 22% using a 300 K hot load and a 77 K cold load. The LO power needed to reach the optimal operating point is 80 nW at the receiver lens front, 59 nW inside the NbN bridge. However, using the isothermal technique we find a power absorbed in the NbN bridge of 25 nW, a difference of about a factor 2. We obtain a gain bandwidth of 2.3 GHz and a noise bandwidth of 4 GHz. The system Allan time is about 1 sec. in a 50 MHz spectral bandwidth and a deviation from white noise integration (governed by the radiometer equation) occurs at 0.2 sec. , which implies a maximum integration time of a few seconds in a 1 MHz bandwidth spectrometer.
Epidemiological Trends for Cryptococcosis in Swaziland (Eswatini), Southern Africa

Cryptococcosis is a fungal disease that is characterized by inflammation of the lungs and central nervous system, and it is commonly associated with HIV/AIDS. Even though the disease accounts for roughly 15% of all AIDS-related deaths, it is relatively neglected. This is most especially true in Southern Africa which has the highest HIV/AIDS cases in the world and accounts for more than 10% of all HIV/AIDS cases worldwide most especially in Southern African countries such as Swaziland (Eswatini) which has the highest HIV/AIDS adult prevalence rate in the world. Despite this, there are little or no previous studies with regards to the epidemiological trends for cryptococcosis in Swaziland (Eswatini) which further suggests that it is relatively neglected. With the increasing spread of virulent strains of the fungus such as Cryptococcus gattii causing outbreaks in several countries around the world, it is important to have a concrete understanding of the epidemiological trends for cryptococcosis in Swaziland (Eswatini). This is also important during the current coronavirus outbreak as previous studies have reported higher morbidity and mortality rates among COVID-19 patients that are also co-infected with HIV/AIDS, cryptococcus as well as other secondary infections. This is further supported by the fact that Southern Africa has the highest number of COVID-19 cases in Africa as well as one of the highest in the world. As a result, the purpose of this study is to determine the epidemiological trends for cryptococcosis in Swaziland (Eswatini) as this will enable adequate control, management, assessment, policies, and regulations that will be useful during outbreaks. This will be achieved by performing a repeated cross-sectional study to determine the epidemiological changes and trends for cryptococcosis in Swaziland (Eswatini) over a 5-year period from 2023 to 2028.
Effectiveness of Total Physical Response in English speaking skill in EFL beginners

The principal objective of this qualitative research was to determine the effectiveness of using Total Physical Response (TPR) to develop speaking skill in beginner’s learners in a rural school. This study was applied using action research method, which involved observation, planning and implementation. The process was carried out in five-week classes during the term November 2019-January 2020 with 26 students from 7th grade at “Belisario Quevedo” Rural School. The instruments used were structured and unstructured checklist and teacher`s diary. The results showed TPR is effective to develop speaking skill in EFL beginners. Students could use English to communicate with their partners and the teacher using basic vocabulary, correct pronunciation and some fluency after applying the method. As a conclusion, Total Physical Response helped beginners to get familiar with the language and learn English with the use of movements, mimics and gestures, making students produce English to communicate.
Identifying correlates of breaks in occupational sitting: a cross-sectional study

Office workers are commonly targeted in interventions to modify their sitting behaviour, yet there is limited evidence of the correlates of breaks in sitting to inform intervention development. This study identifies the individual, workplace and spatial configuration correlates of the frequency of breaks in sitting (number/hour) in office workers (n = 5531) stratified by office type (private-enclosed, shared, open plan). All behaviours and potential correlates were measured via self-report using an online cross-sectional survey. Regression analyses revealed age was the only socio-demographic characteristic associated with frequency of breaks in sitting in all office types. Greater job autonomy and local connectivity were positively associated with frequency of breaks in sitting in shared and open-plan offices. In open-plan offices co-worker proximity was negatively associated with frequency of breaks in sitting. Co-worker visibility was positively associated with frequency of breaks in sitting in all office types. This study demonstrates that individual, workplace and spatial configuration factors are all associated with the frequency of breaks in sitting and that these relationships differ by office type. These observations extend prior studies that have only examined correlates at a single level (e.g. the individual). This evidence could be useful to guide future interventions in the design of workplaces to increase breaks in sitting and workers’ physical activity.
Tracking Hand And Facial Skin Temperatures In An Automobile By Using Ir-Thermography During Heating Period

The purpose of this study is to track hand and facial skin temperatures by IR-thermography under transient heating period in an automobile. Hands and face are the only unclothed parts of the body during heating period and they are much more affected by temperature variations in transient conditions, therefore heat losses from these parts are important and cause local discomfort. In order to capture infrared thermograph of these body parts, an infrared thermal camera which has a spectral range between 7.5 to 13 m was used. Besides IR-thermographic results the thermal interactions between hand and face are simulated. In the simulation Gagge-2 node model was used. The simulation results are compared with the available data in the literature to verify the model. The results were in good agreement and can give a good prediction of temperature distribution and thermal discomfort of hand and face. Instant conductive, convective and radiative heat losses from hands and face were calculated for transient conditions. The obtained results can be used to improve thermal comfort models in automobiles as well as in other volumes under transient conditions. Keywords: Thermal comfort, IR-thermography, Simulation