Enhancing the competitive advantage for tourist souvenirs in Egypt: a marketing approach

Purpose: The main aim of this research is to study the relationship between innovative marketing - in its various dimensions (innovation in product, innovation in price, innovation in promotion, innovation in distribution) - and enhancing the competitive advantage of tourist souvenirs in Egypt. Research methodology: The study adopted the descriptive-analytical approach for accurate and detailed descriptions of the study’s subject quantitatively and qualitatively and analyzed data available on this subject. The field study included surveying a random sample of tourists who frequented the souvenirs and handicrafts stores in various tourist cities in Egypt. Results: There is a statistically significant effect of innovative marketing in enhancing tourist souvenirs’ competitive advantage in Egypt. Overall findings highlighted that all the hypotheses were accepted. Limitations: The repercussions of the COVID-19 virus crisis reduced the scope of the study to only tourists in South Sinai and Red sea Governorates; whereas, tourist souvenirs stores were allowed to operate in accordance with the precautionary measures in only three main governorates: the Red Sea, South Sinai, and Marsa Matrouh, in addition to some gift shops in major hotels. Contribution: The study findings provide guidelines for practitioners within the tourist souvenirs and handicrafts sector to undertake the results and adapt them to assess and enhance their performance. Thus, they could improve their competitiveness. Keywords: Tourist souvenirs, Innovative marketing, Competitive advantag

Trans-species transmission of Brucellae among ruminants hampering brucellosis control efforts in Egypt

Aims: This study aimed to identify the genotypic fingerprinting of Brucella melitensis biovar 3 isolates from ruminants in Kafr El-Sheikh, Egypt, to compare with other peers globally and to highlight the epidemiology and potential causes of brucellosis control failure.Kafr El-Sheikh University, Grant/Award Number: KFSU-3-13-04Depto. de Sanidad AnimalCentro de Vigilancia Sanitaria Veterinaria (VISAVET)TRUEpu

Ethylene responsive transcription factor ERF109 retards PCD and improves salt tolerance in plant

Semi-quantitative RT-PCR for tobacco VIGS lines of 13 knocked down TFs induced 2 h post oxalic acid treatment (20 mM) as compared to their WT and VIGS line with empty pTRV2 (V2) plants. Amplicon sizes of different genes and primers used are shown in Additional file 5: Table S3. The Nbactin gene was used as the house-keeping control. Gene codes refer to those indicated in Additional file 3: Table S2. (DOCX 684 kb

Analysis of transcriptional response to heat stress in Rhazya stricta

Clusters of assembled transcripts of R. stricta SRA in mature leaves (A5-L8) at different time points of the day (A, morning; F-H, midday & L, dusk). Grey lines indicate expression patterns of individual transcripts in a given cluster. Blue lines indicate overall expression pattern across different transcripts of a given cluster. (PDF 397 kb

Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries

Background: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures.Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge.Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P < 0.001) and re-presentation to healthcare providers owing to side-effects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (beta coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and low- and middle-income countries, patient-reported outcomes did not.Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely

Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges and Future Trends

The upcoming 6G networks are sixth-sense next-generation communication networks with an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a connected, sustainable world. Recent developments in artificial intelligence (AI) have enabled a wide range of novel technologies through the availability of advanced machine learning (ML) models, large datasets, and high computational power. In addition, intelligent resource management is a key feature of 6G networks that enables self-configuration and self-healing by leveraging the parallel computing and autonomous decision-making ability of ML techniques to enhance energy efficiency and computational capacity in 6G networks. Consequently, ML techniques will play a significant role in addressing resource management and mobility management challenges in 6G wireless networks. This article provides a comprehensive review of state-of-the-art ML algorithms applied in 6G wireless networks, categorized into learning types, including supervised and unsupervised machine learning, Deep Learning (DL), Reinforcement Learning (RL), Deep Reinforcement Learning (DRL) and Federated Learning (FL). In particular, we review the ML algorithms applied in the emerging networks paradigm, such as device-to-device (D2D) networks, vehicular networks (Vnet), and Fog-Radio Access Networks (F-RANs). We highlight the ML-based solutions to address technical challenges in terms of resource allocation, task offloading, and handover management. We also provide a detailed review of the ML techniques to improve energy efficiency and reduce latency in 6G wireless networks. To this end, we identify the open research issues and future trends concerning ML-based intelligent resource management applications in 6G networks

Trans‐species transmission of Brucellae among ruminants hampering brucellosis control efforts in Egypt

Aims: This study aimed to identify the genotypic fingerprinting of Brucella melitensis biovar 3 isolates from ruminants in Kafr El-Sheikh, Egypt, to compare with other peers globally and to highlight the epidemiology and potential causes of brucellosis control failure.Kafr El-Sheikh University, Grant/Award Number: KFSU-3-13-04Depto. de Sanidad AnimalCentro de Vigilancia Sanitaria Veterinaria (VISAVET)TRUEpu