Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of DL- and L-methionine supplementation
on growth performance, carcass quality and relative bioavailability
of methionine in broilers fed maize-soybean-based diets

This experiment was conducted to compare the effects and bioavailability of DL-methionine (DL-Met) and L-methionine (L-Met) supplementation in maize-soybean meal-based diets on performance and carcass of broiler A total of 728-day-old male broilers were divided into 7 groups with 9 replicates (7 replicates of 12, and 2 replicates of 10 chicks) using a 2 × 3 + 1 factorial arrangement in a completely randomised design. Dietary treatments consisted of basal diets (BD) (including 0.619, 0.555 and 0.523% digestible methionine + cysteine (Met + Cys) for starter, grower and finisher pe -riods, respectively) with three levels (0.155, 0.310 and 0.455%) of either DL-Met or L-Met: BD, BD + 0.155% DL-Met, BD + 0.310% DL-Met, + 0.455% DL-Met, BD + 0.155% L-Met, BD + 0.310% L-Met and BD + 0.455% L-Met. The and levels of Met supplementation did overall growth performance, yield of carcass and parts, as as relative internal organ and feather weight. of methionine had no significant effect on overall growth performance, yield of carcass and parts, relative internal organ and feather weight, while methionine growth performance and carcass and cut yields. The slope-ratio assay showed that the relative bioavailability (RBV) of L-methionine to DL-methionine for BW, FCR and BMY of broilers were 123, 91.5 and 88.0%, respectively, i.e. the differences were not significant between the two Met sources. In conclusion, that when DL-Met and L-Met were included in feeds at practi-cal levels, they were equally as a of methionine for broilers.
Deep Neural Networks for Forecasting Build Energy Load

: The consumption of electric power is progressing rapidly with the increase in the human population and technology development. Therefore, for a stable power supply, accurate prediction of power consumption is essential. In recent years, deep neural networks have been one of the main tools in developing methods for predicting energy consumption. This paper aims to propose a method for predicting energy demand in the case of the residential sector. This method uses a deep learning algorithm based on long short-term memory (LSTM). We applied the built model to the electricity consumption data of a house. To evaluate the proposed approach, we compared the performance of the prediction results with Multilayer Perceptron, Recurrent Neural Network, and other methods. The experimental results demonstrate that the proposed method has higher prediction performance and excellent generalization capability.
Adamantane-Monoterpenoid Conjugates Linked via Heterocyclic Linkers Enhance the Cytotoxic Effect of Topotecan

Inhibiting tyrosyl-DNA phosphodiesterase 1 (TDP1) is a promising strategy for increasing the effectiveness of existing antitumor therapy since it can remove the DNA lesions caused by anticancer drugs, which form covalent complexes with topoisomerase 1 (TOP1). Here, new adamantane–monoterpene conjugates with a 1,2,4-triazole or 1,3,4-thiadiazole linker core were synthesized, where (+)-and (−)-campholenic and (+)-camphor derivatives were used as monoterpene fragments. The campholenic derivatives 14a–14b and 15a–b showed activity against TDP1 at a low micromolar range with IC50 ~5–6 μM, whereas camphor-containing compounds 16 and 17 were ineffective. Surprisingly, all the compounds synthesized demonstrated a clear synergy with topotecan, a TOP1 poison, regardless of their ability to inhibit TDP1. These findings imply that different pathways of enhancing topotecan toxicity other than the inhibition of TDP1 can be realized.
Current and Future Biomarkers in Multiple Sclerosis

Multiple sclerosis (MS) is a debilitating autoimmune disorder. Currently, there is a lack of effective treatment for the progressive form of MS, partly due to insensitive readout for neurodegeneration. The recent development of sensitive assays for neurofilament light chain (NfL) has made it a potential new biomarker in predicting MS disease activity and progression, providing an additional readout in clinical trials. However, NfL is elevated in other neurodegenerative disorders besides MS, and, furthermore, it is also confounded by age, body mass index (BMI), and blood volume. Additionally, there is considerable overlap in the range of serum NfL (sNfL) levels compared to healthy controls. These confounders demonstrate the limitations of using solely NfL as a marker to monitor disease activity in MS patients. Other blood and cerebrospinal fluid (CSF) biomarkers of axonal damage, neuronal damage, glial dysfunction, demyelination, and inflammation have been studied as actionable biomarkers for MS and have provided insight into the pathology underlying the disease process of MS. However, these other biomarkers may be plagued with similar issues as NfL. Using biomarkers of a bioinformatic approach that includes cellular studies, micro-RNAs (miRNAs), extracellular vesicles (EVs), metabolomics, metabolites and the microbiome may prove to be useful in developing a more comprehensive panel that addresses the limitations of using a single biomarker. Therefore, more research with recent technological and statistical approaches is needed to identify novel and useful diagnostic and prognostic biomarker tools in MS.
Comparison of Efficacy and Safety of Brigatinib in First-Line Treatments for Patients with Anaplastic Lymphoma Kinase-Positive Non-Small-Cell Lung Cancer: A Systematic Review and Indirect Treatment Comparison

(1) Background: The relative efficacy and safety of brigatinib compared with other next-generation anaplastic lymphoma kinase (ALK) inhibitors remains unclear, as first-line head-to-head trials have not been conducted. (2) Methods: Electronic databases were systematically searched for eligible randomized controlled trials (RCT) from January 2010 to October 2021. Outcomes evaluated by indirect treatment comparison (ITC) included progression-free survival (PFS), overall survival (OS), objective response rate (ORR), and safety. (3) Results: Nine RCTs with 2484 patients assessing crizotinib, ceritinib, alectinib, brigatinib, ensartinib, and lorlatinib were included. In intent-to-treat (ITT) patients, brigatinib significantly prolonged blinded independent review committee-assessed PFS compared with crizotinib (HR: 0.48, 95% CI: 0.35 to 0.66) and ceritinib (HR: 0.38, 95% CI: 0.23, 0.60) and had a comparable PFS with other 2nd-generation ALK inhibitors. Subgroup analyses of patients with baseline brain metastases and Asian patients yielded results similar to the base case. Brigatinib significantly reduced the risk of death compared with crizotinib (HR: 0.50, 95% CI: 0.28, 0.87) after adjusting for treatment crossover in the crizotinib arm. No significant differences were observed in OS between brigatinib and other next-generation ALK inhibitors. Brigatinib had significantly superior effects in ORR and intracranial ORR compared to crizotinib. The incidence of grade ≥3 AEs was similar between brigatinib and other next-generation ALK inhibitors (except for alectinib), while brigatinib could significantly delay the time to worsening in the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30) global health status (GHS)/quality of life (QoL) vs. crizotinib (HR: 0.69, 95% CI: 0.49, 0.98). (4) Conclusions: Brigatinib had longer PFS compared to crizotinib and ceritinib and had comparable efficacy and safety profile with other 2nd-generation ALK inhibitors in first-line treatments for patients with ALK-positive non-small-cell lung cancer.
An exploratory study on statistical process control in the UK food industry

Statistical Process Control (SPC) is an effective technique improving process performance in manufacturing companies; however, the literature shows its implementation in the food industry is still less evident. This research aims to assess the SPC implementation in the UK food industry and subsequently develops an SPC implementation roadmap (SPCIR) and SPC Readiness Self-assessment Tool for food companies to assess their readiness level to adopt SPC. Survey and multiple-case studies were conducted to identify the widespread of SPC, challenges of implementing SPC, Critical Success Factors and the reasons for not implementing SPC in this industry. A five-phase SPCIR was refined through the action research, while five SPC readiness factors were identified through the Delphi study. This study adds value to the current knowledge by extending organisational readiness theories through the identification of SPC readiness factors and expands the organisational learning theory by uncovering type of learning created within SPC implementation. This study is relevant, practical, and useful to both practitioners and academics by providing a holistic implementation roadmap to guide the managers to implement SPC not only at the organisational level but also at the project level. This study offers an itinerary of organisational readiness that enables the managers to confirm the organisational preparedness for the adoption of SPC. The small sample size may limit the generalisability of the findings. But this exploratory study provides critical information to the managers in this sector to develop a strategic plan for a successful SPC implementation.
Can changes in deformation regimes be inferred from crystallographic preferred orientations in polar ice?

Abstract. Creep due to ice flow is generally thought to be the main cause for the formation of crystallographic preferred orientations (CPOs) in polycrystalline anisotropic ice. However, linking the development of CPOs to the ice flow history requires a proper understanding of the ice aggregate's microstructural response to flow transitions. In this contribution the influence of ice deformation history on the CPO development is investigated by means of full-field numerical simulations at the microscale. We simulate the CPO evolution of polycrystalline ice under combinations of two consecutive deformation events up to high strain, using the code VPFFT (visco-plastic fast Fourier transform algorithm) within ELLE. A volume of ice is first deformed under coaxial boundary conditions, which results in a CPO. The sample is then subjected to different boundary conditions (coaxial or non-coaxial) in order to observe how the deformation regime switch impacts the CPO. The model results indicate that the second flow event tends to destroy the first, inherited fabric with a range of transitional fabrics. However, the transition is slow when crystallographic axes are critically oriented with respect to the second imposed regime. Therefore, interpretations of past deformation events from observed CPOs must be carried out with caution, particularly in areas with complex deformation histories.
Weed species composition and abundance in the main coffee production systems and regions of Ethiopia

A weed population survey was carried out to assess the variability in weed species composition and abundance in the main coffee production systems and regions of Ethiopia. A total of 168 coffee fields were assessed using a quadrat count in a systematic sampling technique. Weed species composition was evaluated using frequency, abundance and dominance of species at each site. We found a total of 98 weed taxa belonging to 35 families, of which Asteraceae and Poaceae were the most abundant. The most frequent weed species were Oplismenus hirtellus (L.) P.Beauv. , Galinsoga parviflora Cav. , Achyranthes bidentata Blume, Impatiens balfourii Hook. F. , Bidens pilosa L. and Commelina benghalensis L. , with a frequency of over 40%. The density of weed species varied and the highest abundance value was recorded by O. hirtellus. Similarity indices of the 16 districts assessed ranged from 8.33% to 72.73%, while the similarity indices of the coffee production systems and altitudinal range ranged from 7.14% to 49.49% and 41.76% to 68.75%, respectively. Coffee production systems and soil properties were the main explanatory variables influencing weed species distribution and composition in the study areas. In conclusion, coffee producers should take into account these variables while designing the appropriate management strategies to curtail weeds in coffee farms.
Annual Status Report (FY 2019): Performance Assessment for the Disposal of Low Level Waste in the 200 West Area Burial Grounds

This document reports the findings of a performance assessment (PA) analysis for the disposal of solid low-level radioactive waste (LLW) in the 200 West Area Low-Level Waste Burial Grounds (LLBG) in the northwest corner of the 200 West Area of the Hanford Site. This PA analysis is required by US Department of Energy (DOE) Order 5820.2A (DOE 1988a) to demonstrate that a given disposal practice is in compliance with a set of performance objectives quantified in the order. These performance objectives are applicable to the disposal of DOE-generated LLW at any DOE-operated site after the finalization of the order in September 1988. At the Hanford Site, DOE, Richland Operations Office (RL) has issued a site-specific supplement to DOE Order 5820.2A, DOE-RL 5820.2A (DOE 1993), which provides additiona I ce objectives that must be satisfied.
Immunotherapy for Squamous Esophageal Cancer: A Review

Esophageal squamous cell carcinoma (ESCC) is a rare gastrointestinal tumour with high mortality. A multimodality treatment based on chemoradiotherapy followed by surgery is the standard of care in the case of non-metastatic disease; chemotherapy has historically been the gold standard in the metastatic setting. However, the rate of relapse after curative treatment is high and the prognosis of ESCC is poor. In this context, immunotherapy is a novel and intriguing chance to improve survival. Therefore, in this narrative review, we depict the current scenario in the field of immunotherapy for ESCC according to the stage of disease and alongside the discussion of promising biomarkers and future perspectives. The Checkmate-577 trial showed that nivolumab is the best option as adjuvant treatment in patients with non-metastatic ESCC and residual disease after a multimodality approach. In the metastatic setting, nivolumab, pembrolizumab, camrelizumab, sintilimab and toripalimab improved survival outcomes as a first-line treatment in addition to chemotherapy. In the second-line, nivolumab, pembrolizumab, camrelizumab and tislelizumab showed positive results, with differences according to the subgroups, agents and study population included in the trials. Then, the finding of valid molecular biomarkers is crucial in selecting patients for immunotherapy.
Effects of photo-selective netting in Summer Beefsteak Tomato (Solanum lycopersicum L.) cultivation on the environmental conditions under nets as well as growth and yield

Located in a subtropical zone, Taiwan has intense summer sunlight that affects beefsteak tomato cultivation. In this study, beefsteak tomatoes were grown net-house under photo-selective netting of different colors to investigate netting performance. A significantly higher photosynthetic photon flux density (PPFD) was observed under the 24-mesh white (W24) and 24-mesh pink (H24) netting. A difference between the four net-house was only observed for wavelengths of 500–599nm. In 32-mesh blue (B32), the red to blue (R/B) and red to far-red (R/FR) ratios were significantly lower across canopies. The photosynthetic capacity of photosystem II of leaves in W24 was the lowest among the four treatments. In all four, fruit growth was relatively low under the impact of high temperatures, with the lowest single fruit weight and the smallest number of fruits per plant observed in W24. In H24 and 24-mesh pink (HH24), the yield per plant was significantly higher. Significantly fewer whiteflies were observed in the netting houses in H24, HH24, and B32 than in W24. However, the netting still failed to prevent high temperatures at noon. In H24 and HH24, the amount of light retained in the canopies was greater, the photosynthesis capacity was unchanged, the fruit yield was greater and the number of whiteflies in the netting houses was significantly lower. Therefore, pink netting is recommended for beefsteak tomato cultivation.
A 20-SNP Panel as a Tool for Genetic Authentication and Traceability of Pig Breeds

Simple Summary Given the high economic and qualitative values of local-breed meat products, it is not uncommon that substitution or mislabeling (either fraudulent or accidental) occurs at the market level. Therefore, to protect the interests of both producers and consumers, a reliable traceability tool should be developed. Nowadays, traceability usually relies on physical labeling systems (e.g., ear tags, tattoos, or electronic transponders). These systems do not, however, have good performances when dealing with carcasses or processed meat products. Molecular markers (i.e., based on the DNA sequence) can be a solution, since DNA is easily extracted from a wide variety of animal products and parts, and is not degraded during processing, even at the high temperatures involved. The aim of this study was to identify a small number of DNA mutations for breed-traceability purposes, in particular of the Italian Nero Siciliano pig and its derived products. A small panel of 12 DNA mutations was enough to discriminate Nero Siciliano pigs from other pig breeds and from wild boars. Abstract Food authentication in local breeds has important implications from both an economic and a qualitative point of view. Meat products from autochthonous breeds are of premium value, but can easily incur fraudulent or accidental substitution or mislabeling. The aim of this study was to identify a small number of SNPs using the Illumina PorcineSNP60 BeadChip for breed traceability, in particular of the Italian Nero Siciliano pig and its derived products. A panel of 12 SNPs was sufficient to discriminate Nero Siciliano pig from cosmopolitan breeds and wild boars. After adding 8 SNPs, the final panel of 20 SNPs allowed us to discriminate all the breeds involved in the study, to correctly assign each individual to its breed, and, moreover, to discriminate Nero Siciliano from first-generation hybrids. Almost all livestock breeds are being genotyped with medium- or high-density SNP panels, providing a large amount of information for many applications. Here, we proposed a method to select a reduced SNP panel to be used for the traceability of pig breeds.
The Differences of Learning Outcomes (Concept Understanding and Concept Application) Students Through Problem Based Learning and Direct Instruction Learning Strategies

At the beginning of early life there is a learning process called problem based learning (PBL). PBL learning strategies are very effective in nursing schools. The purpose of this study was to determine the differences in learning outcomes (concept understanding and application) between student teams using PBL and student teams using DI. This study uses pre-experimental quantitative research techniques. Second semester DIII nursing students are the population of this study, totaling 194 students (there are 3 parallel classes, namely class A, B, and C with 65 students in class A, 62 in class B, and 67 in class C), while the sample In this study, there were 67 students in the second semester of the Diploma III Nursing study program, the sampling technique used was cluster random sampling. All data were analyzed using SPSS 20 software for windows with a significant level of 5% (α = 0.05). The results showed (1) there were significant differences in understanding basic nursing concepts (2) there were significant differences in the application of basic nursing concepts in DI. So that in understanding the concept and application of the PBL concept it is superior to DI.
Acoustic Shock Formation in Noise Propagation During Military Aircraft Ground Run-Up Operations

Cv = coefficient of variation f = frequency, Hz OASPL = overall sound pressure level, dB re 20 μPa p = pressure r = distance from the microphone array reference position, m t = time, s WPS = wavelet power spectrum, Pa∕Hz θ = angle measured with respect to the aircraft nose σp = standard deviation of the pressure waveform σ∂p∕∂t = standard deviation of the first time derivative of the pressure waveform
Production of Cellulase by A. Niger and T. Reesei Under Solid State Fermentation Using Bagasse as Substrate

Cellulase is a very important enzyme for ethanol production from lignocellulose and others. Bagasse is very good to be chosen as lignocellulosic material for cellulase production because it is cheap and already available in a huge amount. Solid-state fermentation has advantages than submerged fermentation because of its higher yield and activity. Cellulase production using solid-state fermentation has been researched by many people, but for different substrate, different pretreatment and different fungi producer, it is likely to have a different condition. It is very important to perform specific study to optimize cellulase production with specific substrate and specific fungi which available in Indonesia. Because large amount of fungi strains available so it is wise full if they are screened using effective and efficient methods. This research is started by initial screening of three strain of Trichoderma reesei and five strain of Aspergillus niger using Congo red dye staining on CMC agar plate. It is shown that a strain of Trichoderma reesei and two strains of Aspergillus niger has better activity than the others. Further screening is performed by conducting solid-state fermentation using bagasse by three best strains for five days. The activity of the cellulase is measured every 24-hour using Ghose method by dinitrosalicylic acid as reagent. The highest activity is shown by A.niger ITBCC L74 on third day at 0.525 Unit/gram
Long-Term Effect of a Single Dose of Caffeine on Sleep, the Sleep EEG and Neuronal Activity in the Peduncular Part of the Lateral Hypothalamus under Constant Dark Conditions

Background: Caffeine is a central nervous system stimulant that influences both the sleep–wake cycle and the circadian clock and is known to influence neuronal activity in the lateral hypothalamus, an important area involved in sleep–wake regulation. Light is a strong zeitgeber and it is known to interact with the effect of caffeine on the sleep–wake cycle. We therefore wanted to investigate the long-term effects of a single dose of caffeine under constant dark conditions. Methods: We performed long-term (2 days) electroencephalogram (EEG)/electromyogram recordings combined with multi-unit neuronal activity recordings in the peduncular part of the lateral hypothalamus (PLH) under constant darkness in Brown Norway rats, and investigated the effect of a single caffeine treatment (15 mg/kg) or saline control given 1 h after the onset of the endogenous rest phase. Results: After a reduction in sleep and an increase in waking and activity in the first hours after administration, also on the second recording day after caffeine administration, rapid eye movement (REM) sleep was still reduced. Analysis of the EEG showed that power density in the theta range during waking and REM sleep was increased for at least two days. Neuronal activity in PLH was also increased for two days after the treatment, particularly during non-rapid eye movement sleep. Conclusion: Surprisingly, the data reveal long-term effects of a single dose of caffeine on vigilance states, EEG, and neuronal activity in the PLH. The absence of a light–dark cycle may have enabled the expression of these long-term changes. It therefore may be that caffeine, or its metabolites, have a stronger and longer lasting influence, particularly on the expression of REM sleep, than acknowledged until now.