bluuebunny/crossref_metadata_2025_split huggingface dataset:
Is day 5 blastocyst better than day 6 blastocyst? Evidence from NGS-based PGT-A results
Authors: Zhang Ting 
Published: September 2021

Abstract
Background

Aneuploidy is the principal genetic factor leading to the failure of embryo implantation. For most patients who accept the non-preimplantation genetic testing (PGT) cycle, non-invasive methods to select euploid embryos with the best pregnancy potential are desirable
Methods

This retrospective study recruited women undergoing PGT for aneuploidy (PGT-A) with trophectoderm biopsy from January 2019 to December 2020. The ploidy status of embryos was determined by next generation sequencing (NGS).
Results

Altogether 2531 blastocysts from 839 PGT-A cycles were evaluated. The euploid rate of day 5 blastocysts seemed to be significantly higher than that of day 6 blastocysts, either from the same ovarian stimulation (OS) cycles (49.9% vs 35.7%, P < 0.001) or from different OS cycles (48.2% vs 27.8%, P < 0.001). Both the younger maternal age (adjusted OR = 0.917, 95% CI: 0.892–0.944, P < 0.001) and day 5 stage (adjusted OR = 1.735, 95% CI: 1.415–2.127, P < 0.001) were independently associated with the greater euploid rate of blastocysts. However, after single euploid embryo transfer, the clinical outcomes of day 5 blastocysts were comparable to those of day 6 blastocysts, no matter whether they were from the same OS cycles or not.
Conclusions

Our results revealed that day 5 blastocysts possess a higher euploid rate than day 6 blastocysts independent of the OS cycles. Giving priority to a day 5 blastocyst over day 6 blastocyst will increase the likelihood to select single euploid embryo for transfer in non-PGT cycles.
Toxoplasma gondii infection in slaughtered domestic ruminants in Northwest Ethiopia: occurrence, bioassay and virulence assessment
Authors: Maru Moges , Damtie Debasu , Kenubih Ambaye , Maru Abiy , Adugna Biyansa , Dagnachew Shimelis , Tarekegn Zewdu Seyoum 
Published: September 2021

Abstract
Purpose

This study investigated the seropositivity, isolation and virulence of Toxoplasma gondii in slaughtered domestic ruminants in Gondar city, Northwest Ethiopia.
Methods

Three hundred thirty-five blood samples (135 sheep, 50 goats and 150 cattle) were collected from slaughterhouses. Antibodies against T. gondii were assayed using a commercial Toxo-Latex agglutination test. Tissue digestion was also conducted on 39 heart muscles of seropositive animals using the pepsin enzyme, and isolation of viable T. gondii, from seropositive ruminants, was also performed in white albino mice.
Results

The overall occurrence of T. gondii infection was 55.8%. The occurrence of T. gondii antibodies in cattle, goats and sheep was 59.3%, 58%, and 51.1%, respectively. Toxoplasma gondii antibodies prevalence was significantly higher in females (χ2 = 4.55, p < 0.033) and adults of sheep (χ2 = 7.57, p < 0.006). Similarly, in cattle, old groups (χ2 = 7.81, p < 0.005) and cross-breeds (χ2 = 6.30, p < 0.012) have presented association with presence of T. gondii antibodies. However, in goats, no association was observed either with sex or age groups. In bioassayed mice, the overall viable T. gondii isolates were 38.5% and the parasites were isolated from samples of sheep (8/16), cattle (3/14) and goats (4/9), and most of these isolates (87.2%) were avirulent.
Conclusion

The high occurrence of T. gondii antibodies and a high proportion of viable T. gondii observed in this study indicated the prevalent nature of the parasite and its zoonotic importance in the study areas, where slaughtered domestic ruminants serve as an important human protein source. Education of the public about routes of T. gondii transmission and control methods is imperative to prevent T. gondii transmission.
HOBFLOPS for CNNs: Hardware Optimized Bitslice-Parallel Floating-Point Operations for Convolutional Neural Networks
Authors: Garland James , Gregg David 
Published: September 2021

Abstract
Low-precision floating-point (FP) can be highly effective for convolutional neural network (CNN) inference. Custom low-precision FP can be implemented in field programmable gate array (FPGA) and application-specific integrated circuit (ASIC) accelerators, but existing microprocessors do not generally support fast, custom precision FP. We propose hardware optimized bitslice-parallel floating-point operators (HOBFLOPS), a generator of efficient custom precision emulated bitslice-parallel software(C/C++) FP arithmetic. We generate custom-precision FP routines, optimized using a hardware synthesis design flow, to create circuits. We provide standard cell libraries matching the bitwise operations on the target microprocessor architecture and a code generator to translate the hardware circuits to bitslice software equivalents. We exploit bitslice parallelism to create a novel, very wide (32—512 element) vectorized CNN convolution for inference. On Arm and Intel processors, the multiply-accumulate (MAC) performance in CNN convolution of HOBFLOPS, Flexfloat, and Berkeley’s SoftFP are compared. HOBFLOPS outperforms Flexfloat by up to 10× on Intel AVX512. HOBFLOPS offers arbitrary-precision FP with custom range and precision, e . g ., HOBFLOPS9, which outperforms Flexfloat 9-bit on Arm Neon by 7×. HOBFLOPS allows researchers to prototype different levels of custom FP precision in the arithmetic of software CNN ac celerators. Furthermore, HOBFLOPS fast custom-precision FP CNNs may be valuable in cases where memory bandwidth is limited.
The driving force effect of trade embodied carbon emissions and embodied SO2 emissions transferred in resources-rich areas: A case study of Shanxi province
Authors: Wu Jinghui 
Published: September 2021

Abstract
SDA (Structural Decomposition Analysis) model was applied to analyze the driving factors of embodied carbon and SO2 emissions transferred in Shanxi during 2007–2012 based on the input-output model from the perspectives of region and industry. The results showed that the change of embodied carbon emissions and embodied SO2 emissions of Shanxi and other regions were hindered by the carbon (sulfur) emissions strength effect, but promoted by the intermediate (final) demand scale effect, the intermediate (final) structure effect and the input-output structure effect. The carbon emissions strength effect had a significant contribution to reducing the embodied carbon emissions transferred from industries in Shanxi to other regions. The intermediate (final) demand scale effect was the driving factor to increase the embodied carbon emissions transferred from industries in Shanxi to other regions. The sulfur emissions strength effect was the only factor that reduced the embodied SO2 emissions transferred from Shanxi to other industries. The change of embodied carbon emissions from industries in other regions to Shanxi was hindered by the carbon emissions strength effect, but the input-output structure effect and final demand scale effect both increased the embodied carbon emissions from industries in other regions to Shanxi. The change of the embodied SO2 emissions transferred from industries in other regions to Shanxi was inhibited by the sulfur emissions strength effect, but the input-output structure effect, the intermediate demand structure effect and the final demand scale effect were both the driving force effect of increasing the embodied SO2 emissions transferred from industries in other regions to Shanxi. The corresponding suggestions and measures were put forward.
Report of the Texas peanut root-knot nematode, Meloidogyne haplanaria (Tylenchida: Meloidogynidae) from American pitcher plants (Sarracenia sp.) in California
Authors: Subbotin Sergei A. 
Published: September 2021

Abstract
During the winter and spring of 2021, the root-knot nematodes were extracted from samples of galled roots of potted American pitcher plants (Sarracenia sp.). Samples were collected from a botanical garden nursery in Los Angeles County, California. The root-knot nematode was identified by molecular methods as Meloidogyne haplanaria. In the USA, M. haplanaria was initially found in Texas, and subsequently reported from Arkansas and Florida. Molecular characterization of the Californian M. haplanaria isolate was done using the analysis of the D2-D3 of 28S rRNA, ITS rRNA, mitochondrial l-rRNA, COI, and nad5 gene sequences. Some rRNA gene clusters of M. haplanaria were similar with those of M. arenaria. Possible hybridization events within mitotic parthenogenetic root-knot nematodes are discussed. This study confirmed that reliable diagnostics of M. haplanaria should be based on mtDNA sequence analysis. This is a first report of M. haplanaria from Sarracenia sp. and California. Consequently, this nematode was considered to be eradicated from this botanical garden nursery and the State of California.
Social change innovations, citizen science, miniSASS and the SDGs
Authors: Taylor Jim , Graham Mark , Louw Adrienne , Lepheana Ayanda , Madikizela Bonani , Dickens Chris , Chapman Deborah V. , Warner Stuart 
Published: September 2021

Abstract
The United Nations Sustainable Development Goals (SDGs) describe a course of action to address poverty, protect the planet and ensure prosperity for all (https://sdgs.un.org/goals). More specifically, SDG 6 clarifies how water quality, quantity and access are crucial to human well-being, and yet human activities are compromising water resources through over-exploitation, pollution, as well as contributing to the spread of disease. Globally aquatic ecosystems are highly threatened and concerted efforts by governments and civil society to ‘turn the situation around’ are simply not working. Human-created problems require human-centred solutions and these require different ways of thinking and acting to those behaviour patterns that are contributing to the challenges. In this paper, we first consider causal approaches to attitude change and behaviour modification that are simply not working as intended. We then explore enabling responses such as citizen science and co-engaged action learning as more tenable alternatives. SDG 6 has a focus on clean water and sanitation for all. The SDGs further clarify how the extent to which this goal can be realized depends, to a large extent, on stakeholder engagements and education. Through stakeholder engagements and educational processes, people can contribute towards SDG 6 and the specific indicator and target in SDG 6.b – Stakeholder participation. Following a three-year research process, that investigated a wide range of participatory tools, this paper explores how the Stream Assessment Scoring System (miniSASS; www.minisass.org) can enable members of the public to engage in water quality monitoring at a local level. The paper continues to demonstrate how miniSASS can contribute to the monitoring of progress towards Sustainable Development Goal Target 6.3, by providing a mechanism for data collection indicator 6.3.2. miniSASS is proving popular in southern Africa as a methodology for engaging stakeholder participation in water quality monitoring and management. The technique costs very little to implement and can be applied by children and scientists alike. As a biomonitoring approach, it is based on families of macroinvertebrates that are present in most perennial rivers of the world. The paper concludes by describing how useful the miniSASS technique can be for addressing data gaps for SDG 6.3.2 reporting, and that it can be applied in most regions of the world.
Reverse flood routing in an open channel using a combined model of genetic algorithm and a numerical model
Authors: Azizipour Ali , Kashefipour Seyed Mahmood , Haghighi Ali 
Published: September 2021

Abstract
Flood impact assessment in a river system is done with the help of flood routing and this process helps to determine the status of sensitive points of the route in terms of flood entry and the resulting risks for urban and rural areas. For flood routing, a hydrodynamic numerical model should be implemented and this model needs upstream and downstream boundaries. In some cases, the upstream boundary, which is usually a hydrograph, is not available due to the lack of facilities and it is necessary to be generated for numerical model implementation. The purpose of this study is to present an integrated method comprising an optimization model and a hydrodynamic numerical model for flood modeling in order to determine the upstream hydrograph using the measured downstream hydrograph along a river. The routing procedure consists of three steps: (1) generating a hypothetical upstream hydrograph using the genetic algorithm method; (2) hydrodynamic modeling using a numerical simulation model for flood routing according to the hypothetical hydrograph, which is generated in the first step; (3) comparing the calculated and observed hydrograph in the downstream by using a fitness function. This recommended procedure was named the Reverse Flood Routing Method (RFRM) and was then applied to Karun River, the largest river in Iran. Comparison of the final generated upstream hydrograph by the RFRM model with the corresponding measured hydrograph at the upstream boundary (here Ahvaz hydrometric station was assumed as an ungauged river location) shows the high accuracy of the recommended model in this study.
Comparision of performance of multi criteria decision making ensemble-clustering algorithms in rainfall frequency analysis
Authors: Debbarma Nilotpal , Choudhury Parthasarathi , Roy Parthajit 
Published: September 2021

Abstract
Non-availability of adequate extreme rainfall information at any place of interest are solved using regionalization where subjective grouping of similar attributes of nearby gauged stations is performed. K-Means and Fuzzy C-Means are commonly used methods in regionalization of rainfall, but application of genetic algorithms is very rarely explored. Genetic algorithms (GA) are highly efficient evolutionary algorithms, and through an appropriate objective function can effectively achieve the purpose of clustering. In the present study, Davies-Bouldin index is considered and validation is performed using a set of validation measures. Taking into account the varied output obtained in each validation measure, an ensemble approach involving multi criteria decision making is applied to obtain optimal ranked solutions, and the procedure is extended to K-Means and Fuzzy C-Means for comparison. From the results obtained, GA-based clustering is found to outperform the other two algorithms in formation of homogenous regions with better performance in leave-one-out cross validation (LOOCV) test and sensitivity analysis. Accuracy of regional growth curves of regions assessed using regional relative bias and RMSE suggest low uncertainty and accurate quantile estimates in GA regions. Further, information transfer index based on entropy evaluated among GA regions is found to be highest and K-Means lowest.
The simultaneous removal of bisphenol A, manganese and ammonium from groundwater by MeOx: the role of chemical catalytic oxidation for bisphenol A
Authors: Guo Yingming , Ma Ben , Huang Jianxiong , Yang Jing , Zhang Ruifeng 
Published: September 2021

Abstract
Iron and manganese oxide filter film (MeOx) was used to research the simultaneous removal of bisphenol A (BPA), manganese (Mn2+) and ammonium (NH4+) in a pilot-scale filter system. We found that 0.52 mg/L of BPA could be removed while consuming 5.44 mg/L of dissolved oxygen (DO). Since the oxidation process of NH4+ and BPA both consume the DO in water, the presence of NH4+ can hinder the removal of BPA. The presence of Mn2+ in water had a synergistic effect on BPA removal. The filter film was characterized by SEM, XRD and XPS. Some substances were generated to block the pores of the oxide film, and a small amount of film was found to crack and fall off. The elemental composition of C and O were both increased by about 9.00%, the composition of Mn was decreased from 63.48% to 44.55%, and the reduced manganese substance might affect the activity of the oxide film. The main chemical forms of MeOx were Mn6O12·3H2O, MnFe2O4 and Mn3O4. The decrease in the removal efficiency of BPA was mainly due to the C-containing intermediate [−CH2C − H(OH)]n covering the surface of the oxide film and blocking the pore size of the film.
The Mediterranean Diets’ Effect on Gut Microbial Composition in
Comparison with the Western Diet: A Literature Review
Authors: Koutelidakis Antonios E. , Elmaliklis Ioannis-Nektarios , Konteles Spyridon 
Published: September 2021

Background:
In recent years, the scientific interest about the possible role of dietary
attitudes on gut microbiota modulation has been increasing.

Objective:
The present literature review aimed to analyze the effect of Mediterranean diet
adoption on gut microbial composition, in comparison with the Western diet.

Method:
From an initial number of 38, 21 recent studies were selected using comprehensive
scientific databases and relative keywords, such as microbial composition, dietary attitudes,
and beneficial effects. The selected studies were recently published based on animal models,
human interventional trials, metanalyses and gut microbiome analysis, such as metagenomics.

Results:
According to the basic findings of the present review study, Mediterranean diet adherence
leads to a gut microbial richness and richer diversity as well as a higher abundance of
genera Lactobacillus, Faecalibacterium, Oscillospira, Bifidobacterium, Eubacterium species,
that stimulate the production of total short-chain fatty acids. This diet also leads to a lower
Firmicutes / Bacteroidetes ratio due to the increase of Bacteroidetes and decrease of Firmicutes,
accompanied by a decrease of circulating Trimethylamine N oxide levels and a reduction
in abundance of Ruminococcus, Lachnospiraceae, Proteobacteria and Coprococcus, in comparison
to the Western diet.

Conclusion:
Further understanding of the multifactorial effect of both Mediterranean and
Western diet on gut microbiota could allow the establishment of nutritional educational programs
and nutritional policies with aim to improve human health by modulating gut microbial
composition.
COVID-19 Imaging-based AI Research - A Literature Review
Authors: Chang Shan , Ge Cheng , Zhang Lili , Xie Liangxu , Kong Ren , Zhang Hong 
Published: September 2021

Background:
The new coronavirus disease 2019 (COVID-19) is spreading rapidly
around the world. Artificial Intelligence (AI) assisted identification and detection of diseases is an
effective method of medical diagnosis.

Objectives:
To present recent advances in AI-assisted diagnosis of COVID-19, we introduce major
aspects of AI in the process of diagnosing COVID-19.

Methods:
In this paper, we firstly cover the latest collection and processing methods of datasets of
COVID-19. The processing methods mainly include building public datasets, transfer learning, unsupervised
learning and weakly supervised learning, semi-supervised learning methods and so on.
Secondly, we introduce the algorithm application and evaluation metrics of AI in medical imaging
segmentation and automatic screening. Then, we introduce the quantification and severity assessment
of infection in COVID-19 patients based on image segmentation and automatic screening. Finally,
we analyze and point out the current AI-assisted diagnosis of COVID-19 problems, which
may provide useful clues for future work.

Conclusion:
AI is critical for COVID-19 diagnosis. Combining chest imaging with AI can not only
save time and effort, but also provide more accurate and efficient medical diagnosis results.
Anti-Diabetic Effects of Isolated Lipids from Natural Sources through Modulation
of Angiogenesis
Authors: Bahrami Gholamreza , Sajadimajd Soraya , Khosravifar Mina 
Published: September 2021

Background:
Aberrant angiogenesis plays a fateful role in the development of diabetes
and diabetic complications. Lipids, as a diverse group of biomacromolecules, are able to relieve diabetes
through the modulation of angiogenesis.

Objective:
Owing to the present remarkable anti-diabetic effects with no or few side effects of
lipids, the aim of this study was to assess the state-of-the-art research on anti-diabetic effects of
lipids via the modulation of angiogenesis.

Methods:
To study the effects of lipids in diabetes via modulation of angiogenesis, we have
searched the electronic databases including Scopus, PubMed, and Cochrane.

Results:
The promising anti-diabetic effects of lipids were reported in several studies. Eicosapentaenoic
acid (EPA) and docosahexaenoic acid (DHA) from fish oil (FO) were reported to significantly
induce neovasculogenesis in high glucose (HG)-mediated endothelial progenitor cells (EPCs)
with neovasculogenesis dysfunction in type 2 diabetic mice. Linoleic acid, mono-epoxy-tocotrienol-
α (MeT3α), and ginsenoside Rg1 facilitate wound closure and vessel formation. N-Palmitoylethanolamine
(PEA), α-linolenic acid (ALA), omega-3 (ω3) lipids from flaxseed (FS) oil, ω-3
polyunsaturated fatty acids (PUFA), lipoic acid, taurine, and zeaxanthin (Zx) are effective in diabetic
retinopathy via suppression of angiogenesis. Lysophosphatidic acid, alkyl-glycerophosphate,
crocin, arjunolic acid, α-lipoic acid, and FS oil are involved in the management of diabetes and its
cardiac complications. Furthermore, in two clinical trials, R-(+)-lipoic acid (RLA) in combination
with hyperbaric oxygenation therapy (HBOT) for treatment of chronic wound healing in DM patients,
as well as supplementation with DHA plus antioxidants along with intravitreal ranibizumab
were investigated for its effects on diabetic macular edema.

Conclusion:
Proof-of-concept studies presented here seem to well shed light on the anti-diabetic effects
of lipids via modulation of angiogenesis.
Hubungan Pengetahuan dengan Sikap Tenaga Kesehatan dalam Tanggap Darurat Bencana Banjir di Puskesmas Bidara Cina Jakarta Timur
Authors: Ranggauni Fathinah , Rismadianti Adella , Buntara Arga , Maharani Fandita Tonyka , Pulungan Rafiah Maharani 
Published: September 2021

Abstrak. Tanggap darurat adalah suatu tindakan yang dilakukan dengan secepat mungkin pada saat bencana terjadi untuk mencegah potensi buruk terhadap masyarakat. Dalam tanggap darurat bencana ini, dibutuhkan tenaga kesehatan yang memiliki pengetahuan dan pengalaman pelatihan terkait tanggap darurat bencana banjir. Tujuan penelitian ini adalah mengetahui hubungan pengetahuan dengan sikap tenaga kesehatan dalam tanggap darurat bencana banjir di Puskesmas Bidara Cina. Desain penelitian ini adalah cross-sectional dengan pendekatan kuantitatif dan kualitatif untuk mengetahui peran Puskesmas Bidara Cina 1, 2 dan 3. Sebanyak 32 tenaga kesehatan dilibatkan dalam penelitian ini dengan teknik total sampling. Pengumpulan data dilakukan dengan pengisian kuesioner oleh responden dan wawancara. Hasil penelitian menunjukkan terdapat hubungan yang bermakna antara pengetahuan dengan dengan sikap tenaga kesehatan dalam tanggap darurat bencana banjir (p=0,029). Bagi penelitian selanjutnya, disarankan untuk menambahkan simulasi tanggap darurat bencana banjir sebagai variabel tindakan tanggap darurat bencana. Abstact.Emergency Response is an immediate action conducted when a disaster occurs to prevent any potential adverse impact on people. In emergency response, community health workers who have sufficient knowledge and training experience in flood disaster emergency response are required. The purpose of this research was to examine the relationship between knowledge and attitude of community health workers about flood disaster emergency response at Bidara Cina Primary Health Cares (PHC). The design of this research was a cross-sectional design with quantitative and qualitative approaches to know the role of Bidara Cina 1, 2 and 3 Primary Health Cares in flood disaster emergency response. A total of 32 community health workers were recruited in this research by using total sampling technic. Data collection was conducted by questionnaires filling and interviews. The result shows that there was a significant relationship between knowledge and attitude of community health workers about flood disaster emergency response (p=0,029). Further studies which use a flood disaster emergency response simulation as an additional variable are recommended.