Miracle-dz/UniFAR-FTUs huggingface dataset:
FOLFIRINOX as First-line Chemotherapy in Japanese Patients Suffering from Metastatic Pancreatic Cancer (KOBE FOLFIRINOX Study).

Background/Aim FOLFIRINOX (oxaliplatin, irinotecan, 5-fluorouracil, and leucovorin) combination chemotherapy is the gold-standard therapy for advanced pancreatic cancer. In this study, FOLFIRINOX dosages for Japanese patients were established enabling FOLFIRINOX therapy optimization for efficient use. Patients and Methods Patients with advanced pancreatic cancer were treated with varying doses of FOLFIRINOX to determine the optimum dosage for highest remission outcomes with the least post-chemotherapy toxicities. Results Patients given 180 mg of irinotecan and a 400 mg bolus of 5-fluorouracil (5-FU) showed a marked difference in outcome when compared to irinotecan 180 mg given without the 5-FU bolus, with the overall response rate being 28%, a survival time of 6.4 months and progression-free survival time of 4.5 months. Conclusion The optimum dose of FOLFIRINOX was a dosage combination of oxaliplatin 85 mg/m 2 , irinotecan 180 mg/m 2 , l-leucovorin 400 mg/m 2 and 5-FU 2,400 mg/m 2 , administered as a continuous 46-h infusion.
Kinematic Simulation of Traverse Seal Mechanism of Packaging Machine Based on COSMOSMotion

The academic kinematic characteristics of eccentric sprocket mechanism of traverse seal mechanism was analyzed based on the function and requirement of traverse seal mechanism.The 3D model of eccentric sprocket mechanism was constructed by SolidWorks software,and the kinematic characteristics of 3D model were analyzed by COSMOSMotion.The simulation result was showed by curves and cartoon,and the kinematic characteristics parameter affecting eccentric sprocket mechanism was analyzed.
Insect meal as a feed ingredient for poultry

Shortage of protein feed resources is the major challenge to the world farm animal industry. Insects are known as an alternative protein source for poultry. A wide range of insects are available for use in poultry diets. Insect larvae thrive in manure, and organic waste, and produce antimicrobial peptides to protect themselves from microbial infections, and additionally these peptides might also be functional in poultry feed. The feed containing antimicrobial peptides can improve the growth performance, nutrient digestibility, intestinal health, and immune function in poultry. Insect meal contains a higher amount of essential amino acids compared to conventional feedstuffs. Black soldier fly, mealworm, housefly, cricket/Grasshopper/Locust (Orthoptera), silkworm, and earthworm are the commonly used insect meals in broiler and laying hen diets. This paper summarizes the nutrient profiles of the insect meals and reviews their efficacy when included in poultry diets. Due to the differences in insect meal products, and breeds of poultry, inconsistent results were noticed among studies. The main challenge for proper utilization, and the promising prospect of insect meal in poultry diet are also addressed in the paper. To fully exploit insect meal as an alternative protein resource, and exert their functional effects, modes of action need to be understood. With the emergence of more accurate and reliable studies, insect meals will undoubtedly play more important role in poultry feed industry.
A precise method of color space conversion in the digital printing process based on PSO-DBN

Neural networks have been widely used in color space conversion in the digital printing process. The shallow neural network easily obtains the local optimal solution when establishing multi-dimensional nonlinear mapping. In this paper, an improved high-precision deep belief network (DBN) algorithm is proposed to achieve the color space conversion from CMYK to L*a*b*. First, the PANTONE TCX color card is used as sample data, in which the CMYK value of the color block is used as input and the L*a*b* value is used as output; then, the conversion model from CMYK to L*a*b* color space is established by using DBN. To obtain better weight and threshold, DBN is optimized by a particle swarm optimization algorithm. Experimental results show that the proposed method has the highest conversion accuracy compared with Back Propagation Neural Network, Generalized Regression Neural Network, and traditional DBN color space conversion methods. It can also adapt to the actual production demand of color management in digital printing.
An Integrated GaN-Based Converter Based on Cooling-System-Inductor Structure for point-of-load converters

The paper proposes an integrated GaN-based power converter, which has these features of a 3-D integrated magnetic component with alloy materials, improving the power density. Besides, the 3-D integrated magnetic component with alloy materials has high thermal conductivity, which can be regarded as a heat sink for an integrated GaN-based power module and further increase the power density. A comprehensive analysis of the thermal and parasitic characteristics of the GaN-based power converter, and the characteristics and design of 3-D integrated magnetic component with heat sink function by finite element software are discussed in detail. Two 90 W, 12-1.8 V, experimental prototype of four-phase interleaving POL converter based ferrite materials and alloy materials on are built and tested, respectively. The experimental results demonstrate that GaN-based power module based on 3-D integrated magnetic component with alloy materials has low parasitic parameters, good thermal performance, high efficiency and high power density than that of ferrite materials.
Changes of Strategic Pricing Policy of Logistics Service Providers in Financial Macroeconomic Instability

This paper aims to examine the influence of macroeconomic instability on the microeconomic environment, especially on financial strategy after the application of strategic pricing policy by providers of logistics services and make recommendations for providers who use pricing as a marketing tool. Special attention is paid to enhancing their competitive position in times of economic crisis. The research is based on an analysis of the situation during the 2008–2009 economic crisis. It is hypothesized that the number of providers who applied a strategic pricing policy after its culmination in 2010 was higher than in 2008 (shortly before the onset of the crisis). The conclusions derived are then transferred to the period of the 2020 coronavirus economic recession under the assumption of the same analogical characteristics of both periods. The paper does not speculate – its purpose is to present a thorough and complex analysis of the situation by employing a wide range of statistical instruments, thereby attaining results of a very high level of statistical reliability. The study has the potential to be a valuable contribution to the literature in its respective field, especially during global anti-Covid measures, which makes the theme of strengthening competitive positions of logistics service providers very topical.
Prediction of Student’s Dropout from a University Program

We consider the prediction of possible student dropouts from an undergraduate Computer Science program in a higher educational institution. To this end, we collect our own data from the students who started their degree in years 2016 and 2017. After preprocessing and cleaning we are left with 366 participants. To predict graduations and dropouts from the program, four different binary classifiers, namely, Naive Bayes, Support Vector Machine, Logistic Regression, and Artificial Neural Network models were considered. The average performances of the four are reported to be 96%, 89%, 88%, and 95%, respectively. The studies of the similar kind are very useful in terms of advising the Computer Science majoring students how their performances to the date determine their graduation probabilities.
Interpretation of spatiotemporal gravity changes accompanying the earthquake of 21 August 2017 on Ischia (Italy)

We analyse spatiotemporal gravity changes observed on the Ischia island (Italy) accompanying the destructive earthquake of 21 August 2017. The 29 May 2016 to 22 September 2017 time-lapse gravity changes observed at 18 benchmarks of the Ischia gravimetric network are first corrected for the gravitational effect of the surface deformation using the deformation-induced topographic effect (DITE) correction. The co-seismic DITE is computed by Newtonian volumetric integration using the Toposk software, a high-resolution LiDAR DEM and the co-seismic vertical displacement field derived from Sentinel-1 InSAR data. We compare numerically the DITE field with its commonly used Bouguer approximation over the island of Ischia with the outcome that the Bouguer approximation of DITE is adequate and accurate in this case. The residual gravity changes are then computed at gravity benchmarks by correcting the observed gravity changes for the planar Bouguer effect of the elevation changes at benchmarks over the same period. The residual gravity changes are then inverted using an inversion approach based on model exploration and growing source bodies, making use of the Growth-dg inversion tool. The found inversion model, given as subsurface time-lapse density changes, is then interpreted as mainly due to a co-seismic or post-seismic disturbance of the hydrothermal system of the island. Pros and weak points of such interpretation are discussed.
Characteristics of Central American brocket deer resting sites in a tropical mountain cloud forest in eastern Mexico

The Central American brocket deer is a vulnerable species. Geographically isolated populations have been affected by poaching and habitat fragmentation, leading to local extinctions. It is therefore important to understand this species’ habitat characteristics, particularly of resting sites, which play a crucial role in survival and fitness. We describe the characteristics and distribution patterns of Central American brocket deer resting sites at the microhabitat and landscape scales in San Bartolo Tutotepec, Hidalgo, México. We conducted eight bimonthly field surveys between November 2017 and March 2019, consisting of 32 transects of 500 m length to search for fecal pellets, footprints, scrapes, and browsed plants. At each resting site we identified, we measured canopy closure, horizontal thermal cover, protection from predators for fawns and adults, escape routes, slope from the ground, presence of scrapes, cumulative importance value of the edible plant species, and distance from the resting site to the nearest water resource to characterize the site at the microhabitat scale. At the landscape scale, we identified the type of biotope, elevation, aspect, and slope. We compared all of these parameters from resting sites with a paired randomly selected site to serve as a control. We performed a multiple logistic regression to identify the parameters associated with the resting sites and a point pattern analysis to describe their distribution. We characterized 43 resting sites and their corresponding control plots. At the microhabitat scale, resting sites were associated with higher vertical thermal cover, more concealment cover, more escape routes, more edible plant species, higher slope from the ground, and closer distance to water resources. At the landscape scale, resting sites were associated with beech forest, oak forest, secondary forest, and ravine biotopes and negatively associated with pine forest, houses, and roads. Resting sites had an aggregated spatial pattern from 0 to 900 m, but their distribution was completely random at larger scales. Our study revealed that Central American brocket deer selected places with specific characteristics to rest, at both microhabitat and landscape scales. We therefore suggest that existing habitat be increased by reforesting with native species—particularly Mexican beech forest and oak forest—to improve the deer’s conservation status in the study area.
Variations of the efficiency of biological therapy in vulgar psoriasis

PSORIASIS (Abstract): With the rapid understanding of the pathogenesis of psoriasis, the number of treatment options available for moderate to severe form has also increased. In this pa-per, we focus on the efficacy and safety profile of biological products in patients with psoriasis. In addition, we discuss the impact of biologics on comorbidities caused by psoriasis, considering several factors associated with the patient and the condition, and aim to review therapeutic opportunities in terms of biologic therapies and their variety. Material and methods: A retrospective study that has as a sample a group of 113 patients diagnosed with psoriasis vulgaris, under investigation by the Dermato-Venerology Clinic at the “Sf. Spiridon” County Clinical Emergency Hospital Iași. All these patients are under biological therapy and were admitted to the clinic between 2017-2021. Results: Of the 113 patients proposed for the study, 63% were male (n = 71) and 37% female (n = 42). Of the total sample, the preponderance of the age range was that of the „> 40 years‟ range with a total of 85% (n = 96) consisting of 61 men and 35 women (p = 0.019, statistically significant result). Conclusions: With the introduction of new biological substances and the discontinuation of oth-ers, an update of biological substances in psoriasis is delayed. Understanding the benefits, risks and monitoring of patients with biologic therapies is becoming increasingly important for the dermatologist .
Comparative genomics of the black rot pathogen Xanthomonas campestris pv. campestris and non-pathogenic co-inhabitant Xanthomonas melonis from Trinidad reveal unique pathogenicity determinants and secretion system profiles

Black-rot disease caused by the phytopathogen Xanthomonas campestris pv. campestris (Xcc) continues to have considerable impacts on the productivity of cruciferous crops in Trinidad and Tobago and the wider Caribbean region. While the widespread occurrence of resistance of Xcc against bactericidal agrochemicals can contribute to the high disease burdens, the role of virulence and pathogenicity features of local strains on disease prevalence and severity has not been investigated yet. In the present study, a comparative genomic analysis was performed on 6 pathogenic Xcc and 4 co-isolated non-pathogenic Xanthomonas melonis (Xmel) strains from diseased crucifer plants grown in fields with heavy chemical use in Trinidad. Native isolates were grouped into two known and four newly assigned ribosomal sequence types (rST). Mobile genetic elements were identified which belonged to the IS3, IS5 family, Tn3 transposon, resolvases, and tra T4SS gene clusters. Additionally, exogenous plasmid derived sequences with origins from other bacterial species were characterised. Although several instances of genomic rearrangements were observed, native Xcc and Xmel isolates shared a significant level of structural homology with reference genomes, Xcc ATCC 33913 and Xmel CFBP4644, respectively. Complete T1SS hlyDB, T2SS, T4SS vir and T5SS xadA, yapH and estA gene clusters were identified in both species. Only Xmel strains contained a complete T6SS but no T3SS. Both species contained a complex repertoire of extracellular cell wall degrading enzymes. Native Xcc strains contained 37 T3SS and effector genes but a variable and unique profile of 8 avr, 4 xop and 1 hpa genes. Interestingly, Xmel strains contained several T3SS effectors with low similarity to references including avrXccA1 (~89%), hrpG (~73%), hrpX (~90%) and xopAZ (~87%). Furthermore, only Xmel genomes contained a CRISPR-Cas I-F array, but no lipopolysaccharide wxc gene cluster. Xmel strains were confirmed to be non-pathogenic by pathogenicity assays. The results of this study will be useful to guide future research into virulence mechanisms, agrochemical resistance, pathogenomics and the potential role of the co-isolated non-pathogenic Xanthomonas strains on Xcc infections.
Somatic Mutations in TP53 Gene in Colombian Patients With Non-melanoma Skin Cancer.

Background/Aim Non-melanoma skin cancer is the most common cancer in the world. Somatic mutations in the TP53 gene are associated with the development of this cancer. To describe mutations in exons 5-8 of the TP53 gene in a sample of Colombian patients with non-melanoma skin cancer. Materials and Methods One hundred and fifteen patients with non-melanoma skin cancer were included. Exons 5-8 were amplified and analyzed by PCR-High Resolution Melting and Sanger sequencing. Results Fifty-seven patients with basal cell carcinomas and 58 with squamous cell carcinomas were studied. 16% of patients with basal cell carcinoma and 26% of patients with squamous cell carcinoma had mutations in the TP53 gene. The most frequent mutations were substitutions, while three patients had deletions. The most frequent mutation was p.R158G. Conclusion The analysis showed that Colombian individuals with non-melanoma skin cancer have genetic TP53 variants different from those reported as recurrent for this disease.
THE FREQUENCY OF USE OF EEG AND NEUROFEEDBACK IN SPORT, SYSTEMATIC REVIEW

Increasing athlete performance is an eternal challenge in the world of sports. The success of the training work performed can be checked by performance diagnostics. Proper brain processing is essential for skill learning and the implementation of effective motor performance. It was important for brain mapping technology to improve the capabilities of imaging devices in order to measure cognitive-motor performance in the field. The primary purpose of this review was to summarize the frequency of applications of EEG and its associated neurofeedback in sport. Examine the differences and characteristics of protocols. Assess whether there is this uniform, standardized protocol for each sport and how often it is used among both elite and amateur athletes. Electroencephalography was initially used most in sports in which the stable setting was followed by only minimal movement. These include sport shooting, archery and golf and baseball. Later, it was possible to analyze more complex movements with EEG, such as cycling. One of the most commonly used techniques is neurofeedback training, but despite some research on the topic, the arena of neurotechnology in sports psychology still exists in its rudimentary form and is constrained by a plethora of technological problems.
A systematic approach for effective storm water management at building level during extreme rainfall events – a case study

ABSTRACT Poor maintenance of stormwater drains, encroachment of rainfed tanks are some of the major reasons cited for recent floods in Indian cities. Hence the priority for stormwater management has shifted from centralized to decentralized systems through new concepts like low impact development and green infrastructure. The present study is an attempt in this direction where a building which experienced water stagnation issues during a heavy rainfall was taken into account and maps of topographic and hydrologic parameters were prepared. With that, low-lying areas surrounding the building were identified, which were then used by the estates department for designing a suitable stormwater management plan. Hydrological analysis was also carried out to find the peak runoffs of extreme rainfalls in order to check the effectiveness of the recharging structure. The study would be useful in places where the water stagnation is a potential problem and thus demand a decentralized stormwater management system.
Effects of Game-Based Task-Oriented Circuit Training on Physical Functions of Stroke Survivors: A Pilot Study in A State Hospital in Kelantan, Malaysia

Despite being increasingly popular and commonly used in rehabilitation, both game-based exercise training and task-oriented circuit training have never been combined to provide a new training experience for stroke survivors undergoing rehabilitation. Past studies have assessed the effectiveness of these exercise approaches separately and reported positive outcomes. Combining the two training programs may create a more enriched environment and yield favorable outcomes. The aim of this study was to determine the effects of game-based task-oriented circuit training on the physical functions of stroke survivors. This research was a pretest-posttest experimental pilot trial involving 30 participants at post-acute and chronic stage post-stroke (mean age and standard deviation = 58.9 ± 6.6 years; mean Montreal Cognitive Assessment scoring = 23.4 ± 7.1) conducted at a state hospital in Kelantan, Malaysia between August 2019 to February 2020. All participants received game-based task-oriented circuit training using a “Checkercise Board” for 45 minutes, twice per week for 8 weeks. The outcome of the training was measured with regard to lower limb strength, functional stability and aerobic capacity, with the use of the 30-second chair rise test, Dynamic Gait Index (DGI) and 6-minute walk test, respectively. Analysis was done by the ‘intention-to-treat’ approach, using paired samples t-test to determine the differences between pre and post-training outcomes scores. All data was analyzed using the Statistics Package for the Social Sciences (SPSS), version 23.0. The significance level was set at p < 0.05 and Cohen’s (d) was used to determine the effect size. Post-training, participants’ mean 30-second chair rise test, DGI and 6-minute walk test scores increased by 9%, 7% and 23% respectively compared to pre-treatment (p < 0.05), with medium effect size of 0.5 to 0.6. Game-based task-oriented circuit training effectively improves lower limb strength, functional stability and aerobic capacity of stroke survivors, and may be used as a therapy option for this population. A future study is needed to confirm these study finding.
Data-Based Control Structure Selection for RCCI Engines with Electrically Assisted Turbocharger

Internal Combustion Engines (ICEs) are getting more complex in order to meet the limits set by tightening emission regulations. As a result, the control problem of ICEs is also getting more complex, due to an increased number of subsystems and actuators. In this paper, an input-output scaling and pairing procedure based on measured input-output data will be presented. The input-output scaling method is based on the Sinkhorn-Knopp algorithm, while the input-output pairing is determined using a Gramian-based interaction measure. The applicability of the presented procedure is demonstrated on a simulated RCCI engine with an electrically assisted turbo.